From 83ef9e42131da23df8f13f10e5db03ca885967d8 Mon Sep 17 00:00:00 2001 From: Morten Hjorth-Jensen Date: Mon, 18 Sep 2023 12:44:58 +0200 Subject: [PATCH] updating book --- .../_build/.doctrees/environment.pickle | Bin 338899 -> 339237 bytes .../_build/.doctrees/week37.doctree | Bin 715254 -> 715316 bytes .../_build/.doctrees/week38.doctree | Bin 1191541 -> 1191345 bytes .../_build/html/_images/week37_144_0.png | Bin 22031 -> 22085 bytes .../_build/html/_sources/week37.ipynb | 428 ++++++++-------- .../_build/html/_sources/week38.ipynb | 354 ++++++------- doc/LectureNotes/_build/html/genindex.html | 4 +- doc/LectureNotes/_build/html/intro.html | 4 +- doc/LectureNotes/_build/html/objects.inv | Bin 1055 -> 1052 bytes doc/LectureNotes/_build/html/search.html | 4 +- doc/LectureNotes/_build/html/searchindex.js | 2 +- doc/LectureNotes/_build/html/week37.html | 68 +-- doc/LectureNotes/_build/html/week38.html | 14 +- .../_build/jupyter_execute/week37.ipynb | 478 +++++++++--------- 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Statistical interpretations and Resampling Methods\n", "**Morten Hjorth-Jensen**, Department of Physics, University of Oslo and Department of Physics and Astronomy and Facility for Rare Isotope Beams, Michigan State University\n", "\n", - "Date: **Sep 14, 2023**\n", + "Date: **Sep 18, 2023**\n", "\n", "Copyright 1999-2023, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license\n", "\n", @@ -31,7 +31,7 @@ }, { "cell_type": "markdown", - "id": "ccaa7ab9", + "id": "af4e71fa", "metadata": { "editable": true }, @@ -74,7 +74,7 @@ }, { "cell_type": "markdown", - "id": "1c5c27bf", + "id": "a30b83bd", "metadata": { "editable": true }, @@ -84,7 +84,7 @@ }, { "cell_type": "markdown", - "id": "656c8db6", + "id": "603e5939", "metadata": { "editable": true }, @@ -113,7 +113,7 @@ }, { "cell_type": "markdown", - "id": "4c35f924", + "id": "c6d1b655", "metadata": { "editable": true }, @@ -129,7 +129,7 @@ }, { "cell_type": "markdown", - "id": "9087bc37", + "id": "0ac423bb", "metadata": { "editable": true }, @@ -148,7 +148,7 @@ }, { "cell_type": "markdown", - "id": "8a7bb057", + "id": "a321bc7e", "metadata": { "editable": true }, @@ -162,7 +162,7 @@ }, { "cell_type": "markdown", - "id": "68392e55", + "id": "a058a44f", "metadata": { "editable": true }, @@ -174,7 +174,7 @@ }, { "cell_type": "markdown", - "id": "27cd8fb1", + "id": "7ca5aeb9", "metadata": { "editable": true }, @@ -185,7 +185,7 @@ }, { "cell_type": "markdown", - "id": "f0344126", + "id": "7a064201", "metadata": { "editable": true }, @@ -197,7 +197,7 @@ }, { "cell_type": "markdown", - "id": "d23667d2", + "id": "fc70ead9", "metadata": { "editable": true }, @@ -209,7 +209,7 @@ }, { "cell_type": "markdown", - "id": "63687c52", + "id": "9beae550", "metadata": { "editable": true }, @@ -225,7 +225,7 @@ }, { "cell_type": "markdown", - "id": "54e07f66", + "id": "c0ab7cc5", "metadata": { "editable": true }, @@ -236,7 +236,7 @@ }, { "cell_type": "markdown", - "id": "de6492ed", + "id": "a6900e18", "metadata": { "editable": true }, @@ -259,7 +259,7 @@ }, { "cell_type": "markdown", - "id": "a487e7d3", + "id": "fe9b0d2f", "metadata": { "editable": true }, @@ -270,7 +270,7 @@ }, { "cell_type": "markdown", - "id": "dbac7b3f", + "id": "be36f9aa", "metadata": { "editable": true }, @@ -282,7 +282,7 @@ }, { "cell_type": "markdown", - "id": "edc35885", + "id": "3717afd4", "metadata": { "editable": true }, @@ -294,7 +294,7 @@ }, { "cell_type": "markdown", - "id": "5b79b613", + "id": "f75bbc6c", "metadata": { "editable": true }, @@ -308,7 +308,7 @@ }, { "cell_type": "markdown", - 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"id": "b347871f", + "id": "a137b317", "metadata": { "editable": true }, @@ -807,7 +807,7 @@ }, { "cell_type": "markdown", - "id": "7af990c8", + "id": "83858731", "metadata": { "editable": true }, @@ -819,7 +819,7 @@ }, { "cell_type": "markdown", - "id": "ff6fb728", + "id": "ee5dab96", "metadata": { "editable": true }, @@ -831,7 +831,7 @@ }, { "cell_type": "markdown", - "id": "9b9c9cc4", + "id": "cb03bfdd", "metadata": { "editable": true }, @@ -843,7 +843,7 @@ }, { "cell_type": "markdown", - "id": "294e9ad9", + "id": "72b69902", "metadata": { "editable": true }, @@ -855,7 +855,7 @@ }, { "cell_type": "markdown", - "id": "8021f77b", + "id": "8a876747", "metadata": { "editable": true }, @@ -865,7 +865,7 @@ }, { "cell_type": "markdown", - "id": "78fbc86a", + "id": "2424f759", "metadata": { "editable": true }, @@ -877,7 +877,7 @@ }, { "cell_type": "markdown", - "id": "ab52abe5", + "id": "f33b3f29", "metadata": { "editable": true }, @@ -887,7 +887,7 @@ }, { "cell_type": "markdown", - "id": "1f809753", + "id": "b73e0693", "metadata": { "editable": true }, @@ -906,7 +906,7 @@ }, { "cell_type": "markdown", - "id": "908364e7", + "id": "a2bc10db", "metadata": { "editable": true }, @@ -927,7 +927,7 @@ }, { "cell_type": "markdown", - "id": "6e5c83b1", + "id": "f41d3f9b", "metadata": { "editable": true }, @@ -939,7 +939,7 @@ }, { "cell_type": "markdown", - "id": "5653360e", + "id": "fe20e517", "metadata": { "editable": true }, @@ -950,7 +950,7 @@ }, { "cell_type": "markdown", - "id": "e617edc1", + "id": "d003d5d8", "metadata": { "editable": true }, @@ -963,7 +963,7 @@ }, { "cell_type": "markdown", - "id": "ecb9f426", + "id": "07a5ca9c", "metadata": { "editable": true }, @@ -975,7 +975,7 @@ }, { "cell_type": "markdown", - "id": "eb2347e9", + "id": "91485638", "metadata": { "editable": true }, @@ -985,7 +985,7 @@ }, { "cell_type": "markdown", - "id": "ce975ccd", + "id": "be6de757", "metadata": { "editable": true }, @@ -997,7 +997,7 @@ }, { "cell_type": "markdown", - "id": "4b0ad706", + "id": "51263519", "metadata": { "editable": true }, @@ -1007,7 +1007,7 @@ }, { "cell_type": "markdown", - "id": "249c79a0", + "id": "5b2dc226", "metadata": { "editable": true }, @@ -1019,7 +1019,7 @@ }, { "cell_type": "markdown", - "id": "6497aa62", + "id": "e241fbc1", "metadata": { "editable": true }, @@ -1029,7 +1029,7 @@ }, { "cell_type": "markdown", - "id": "36ac6a6c", + "id": "42db70df", "metadata": { "editable": true }, @@ -1043,7 +1043,7 @@ }, { "cell_type": "markdown", - "id": "0667ce18", + "id": "ed75a460", "metadata": { "editable": true }, @@ -1055,7 +1055,7 @@ }, { "cell_type": "markdown", - "id": "23e6bbe1", + "id": "c826a95f", "metadata": { "editable": true }, @@ -1065,7 +1065,7 @@ }, { "cell_type": "markdown", - "id": "1303e4fa", + "id": "70a426f9", "metadata": { "editable": true }, @@ -1077,7 +1077,7 @@ }, { "cell_type": "markdown", - "id": "07a72af1", + "id": "a90b1b91", "metadata": { "editable": true }, @@ -1087,7 +1087,7 @@ }, { "cell_type": "markdown", - "id": "a0fdb3bd", + "id": "3f5a6f0b", "metadata": { "editable": true }, @@ -1099,7 +1099,7 @@ }, { "cell_type": "markdown", - "id": "0c191fc5", + "id": "2530803f", "metadata": { "editable": true }, @@ -1109,7 +1109,7 @@ }, { "cell_type": "markdown", - "id": "05a216b4", + "id": "34940159", "metadata": { "editable": true }, @@ -1121,7 +1121,7 @@ }, { "cell_type": "markdown", - "id": "21d80a1c", + "id": "1f497f2c", "metadata": { "editable": true }, @@ -1131,7 +1131,7 @@ }, { "cell_type": "markdown", - "id": "06073a94", + "id": "c780a9b9", "metadata": { "editable": true }, @@ -1147,7 +1147,7 @@ }, { "cell_type": "markdown", - "id": "aaf3ac26", + "id": "68ddd4cc", "metadata": { "editable": true }, @@ -1159,7 +1159,7 @@ }, { "cell_type": "markdown", - "id": "5ff662ce", + "id": "b85ade85", "metadata": { "editable": true }, @@ -1169,7 +1169,7 @@ }, { "cell_type": "markdown", - "id": "2c210fdb", + "id": "6386a328", "metadata": { "editable": true }, @@ -1181,7 +1181,7 @@ }, { "cell_type": "markdown", - "id": "ebbc15d5", + "id": "316194e8", "metadata": { "editable": true }, @@ -1194,7 +1194,7 @@ }, { "cell_type": "markdown", - "id": "b9123830", + "id": "f7e39504", "metadata": { "editable": true }, @@ -1206,7 +1206,7 @@ }, { "cell_type": "markdown", - "id": "9fb1e84e", + "id": "6c3b01de", "metadata": { "editable": true }, @@ -1216,7 +1216,7 @@ }, { "cell_type": "markdown", - "id": "c48c43d0", + "id": "5c4a05c9", "metadata": { "editable": true }, @@ -1228,7 +1228,7 @@ }, { "cell_type": "markdown", - "id": "ed19a572", + "id": "6f26b763", "metadata": { "editable": true }, @@ -1238,7 +1238,7 @@ }, { "cell_type": "markdown", - "id": "65ea42da", + "id": "08efa297", "metadata": { "editable": true }, @@ -1250,7 +1250,7 @@ }, { "cell_type": "markdown", - "id": "587ea365", + "id": "97765f2c", "metadata": { "editable": true }, @@ -1262,7 +1262,7 @@ }, { "cell_type": "markdown", - "id": "55422904", + "id": "b2e48903", "metadata": { "editable": true }, @@ -1272,7 +1272,7 @@ }, { "cell_type": "markdown", - "id": "55e99fd7", + "id": "fae174cf", "metadata": { "editable": true }, @@ -1284,7 +1284,7 @@ }, { "cell_type": "markdown", - "id": "fb8e8c1e", + "id": "dc3ff171", "metadata": { "editable": true }, @@ -1296,7 +1296,7 @@ }, { "cell_type": "markdown", - "id": "72c3b3dc", + "id": "af3046b7", "metadata": { "editable": true }, @@ -1308,7 +1308,7 @@ }, { "cell_type": "markdown", - "id": "348550b2", + "id": "fbf017df", "metadata": { "editable": true }, @@ -1318,7 +1318,7 @@ }, { "cell_type": "markdown", - "id": "6c3f6965", + "id": "23214eb3", "metadata": { "editable": true }, @@ -1330,7 +1330,7 @@ }, { "cell_type": "markdown", - "id": "24532f00", + "id": "f3c6b69a", "metadata": { "editable": true }, @@ -1340,7 +1340,7 @@ }, { "cell_type": "markdown", - "id": "7634be1d", + "id": "386493f5", "metadata": { "editable": true }, @@ -1359,7 +1359,7 @@ }, { "cell_type": "markdown", - "id": "5dcc9cb2", + "id": "727bee7f", "metadata": { "editable": true }, @@ -1387,7 +1387,7 @@ }, { "cell_type": "markdown", - "id": "0971b192", + "id": "7e34ba8e", "metadata": { "editable": true }, @@ -1413,7 +1413,7 @@ }, { "cell_type": "markdown", - "id": "00c350e4", + "id": "fc35fdde", "metadata": { "editable": true }, @@ -1430,7 +1430,7 @@ }, { "cell_type": "markdown", - "id": "aa3988c6", + "id": "dc071fc4", "metadata": { "editable": true }, @@ -1450,7 +1450,7 @@ }, { "cell_type": "markdown", - "id": "9868a98b", + "id": "ef1325b9", "metadata": { "editable": true }, @@ -1479,7 +1479,7 @@ }, { "cell_type": "markdown", - "id": "5015585e", + "id": "340ea11c", "metadata": { "editable": true }, @@ -1504,7 +1504,7 @@ }, { "cell_type": "markdown", - "id": "92d9273d", + "id": "74bd7468", "metadata": { "editable": true }, @@ -1524,7 +1524,7 @@ }, { "cell_type": "markdown", - "id": "cd12bb37", + "id": "93013ca8", "metadata": { "editable": true }, @@ -1536,7 +1536,7 @@ }, { "cell_type": "markdown", - "id": "cd8fc890", + "id": "92fa2b15", "metadata": { "editable": true }, @@ -1546,7 +1546,7 @@ }, { "cell_type": "markdown", - "id": "265ab8d1", + "id": "1031aebe", "metadata": { "editable": true }, @@ -1561,7 +1561,7 @@ }, { "cell_type": "markdown", - "id": "cdcb3e67", + "id": "cc495848", "metadata": { "editable": true }, @@ -1574,7 +1574,7 @@ }, { "cell_type": "markdown", - "id": "89a036fe", + "id": "28b2bcff", "metadata": { "editable": true }, @@ -1587,7 +1587,7 @@ }, { "cell_type": "markdown", - "id": "db8fc317", + "id": "5d3eb73d", "metadata": { "editable": true }, @@ -1599,7 +1599,7 @@ }, { "cell_type": "markdown", - "id": "8f878995", + "id": "75b47bae", "metadata": { "editable": true }, @@ -1612,7 +1612,7 @@ }, { "cell_type": "markdown", - "id": "705c200b", + "id": "a99105b0", "metadata": { "editable": true }, @@ -1623,7 +1623,7 @@ }, { "cell_type": "markdown", - "id": "594730bc", + "id": "da28e9b0", "metadata": { "editable": true }, @@ -1637,7 +1637,7 @@ }, { "cell_type": "markdown", - "id": "50cedd29", + "id": "5bd0da08", "metadata": { "editable": true }, @@ -1647,7 +1647,7 @@ }, { "cell_type": "markdown", - "id": "6d7b9a46", + "id": "8dcbd91d", "metadata": { "editable": true }, @@ -1661,7 +1661,7 @@ }, { "cell_type": "markdown", - "id": "ffeff7ca", + "id": "3ab26352", "metadata": { "editable": true }, @@ -1674,7 +1674,7 @@ }, { "cell_type": "markdown", - "id": "caf853d3", + "id": "9e232448", "metadata": { "editable": true }, @@ -1687,7 +1687,7 @@ }, { "cell_type": "markdown", - "id": "b0237a6a", + "id": "15cdad60", "metadata": { "editable": true }, @@ -1697,7 +1697,7 @@ }, { "cell_type": "markdown", - "id": "4475d0be", + "id": "7b857d11", "metadata": { "editable": true }, @@ -1710,7 +1710,7 @@ }, { "cell_type": "markdown", - "id": "1ba48e74", + "id": "a7ba76a4", "metadata": { "editable": true }, @@ -1720,7 +1720,7 @@ }, { "cell_type": "markdown", - "id": "6561a4db", + "id": "27abee5c", "metadata": { "editable": true }, @@ -1733,7 +1733,7 @@ }, { "cell_type": "markdown", - "id": "a0416060", + "id": "450fbae6", "metadata": { "editable": true }, @@ -1745,7 +1745,7 @@ }, { "cell_type": "markdown", - "id": "5b86aaee", + "id": "583a9a42", "metadata": { "editable": true }, @@ -1764,7 +1764,7 @@ }, { "cell_type": "markdown", - "id": "4620502c", + "id": "cdd93e78", "metadata": { "editable": true }, @@ -1777,7 +1777,7 @@ }, { "cell_type": "markdown", - "id": "03867622", + "id": "dfe218b6", "metadata": { "editable": true }, @@ -1789,7 +1789,7 @@ }, { "cell_type": "markdown", - "id": "c4908940", + "id": "5d3fd1f7", "metadata": { "editable": true }, @@ -1802,7 +1802,7 @@ }, { "cell_type": "markdown", - "id": "c74f36e7", + "id": "3b8a47f4", "metadata": { "editable": true }, @@ -1822,7 +1822,7 @@ }, { "cell_type": "markdown", - "id": "e497bcf9", + "id": "c57ef602", "metadata": { "editable": true }, @@ -1845,7 +1845,7 @@ }, { "cell_type": "markdown", - "id": "60541de0", + "id": "cdea97fa", "metadata": { "editable": true }, @@ -1860,7 +1860,7 @@ }, { "cell_type": "markdown", - "id": "62737ab8", + "id": "efc3abe4", "metadata": { "editable": true }, @@ -1872,7 +1872,7 @@ }, { "cell_type": "markdown", - "id": "96722498", + "id": "1679ffac", "metadata": { "editable": true }, @@ -1892,7 +1892,7 @@ }, { "cell_type": "markdown", - "id": "c1242f98", + "id": "fc2481bb", "metadata": { "editable": true }, @@ -1912,7 +1912,7 @@ }, { "cell_type": "markdown", - "id": "9d6890f4", + "id": "a18c7fde", "metadata": { "editable": true }, @@ -1936,7 +1936,7 @@ }, { "cell_type": "markdown", - "id": "eaebe344", + "id": "4af5f00a", "metadata": { "editable": true }, @@ -1957,7 +1957,7 @@ }, { "cell_type": "markdown", - "id": "17ee9799", + "id": "f40537a7", "metadata": { "editable": true }, @@ -1987,7 +1987,7 @@ }, { "cell_type": "markdown", - "id": "ea87812a", + "id": "c6459716", "metadata": { "editable": true }, @@ -2011,7 +2011,7 @@ { "cell_type": "code", "execution_count": 1, - "id": "a21ecc6d", + "id": "61ebf590", "metadata": { "collapsed": false, "editable": true @@ -2050,7 +2050,7 @@ }, { "cell_type": "markdown", - "id": "79da869e", + "id": "2bcfb7ee", "metadata": { "editable": true }, @@ -2060,7 +2060,7 @@ }, { "cell_type": "markdown", - "id": "ce9b96bc", + "id": "bb8e2e4c", "metadata": { "editable": true }, @@ -2071,7 +2071,7 @@ { "cell_type": "code", "execution_count": 2, - "id": "1e35dddb", + "id": "4d167410", "metadata": { "collapsed": false, "editable": true @@ -2091,7 +2091,7 @@ }, { "cell_type": "markdown", - "id": "3bdc7fb8", + "id": "5b04a99c", "metadata": { "editable": true }, @@ -2109,7 +2109,7 @@ }, { "cell_type": "markdown", - "id": "8854ebad", + "id": "df8b5b83", "metadata": { "editable": true }, @@ -2121,7 +2121,7 @@ }, { "cell_type": "markdown", - "id": "677d1f32", + "id": "8b1cae6d", "metadata": { "editable": true }, @@ -2138,7 +2138,7 @@ }, { "cell_type": "markdown", - "id": "4ffc6245", + "id": "347294eb", "metadata": { "editable": true }, @@ -2150,7 +2150,7 @@ }, { "cell_type": "markdown", - "id": "6059ec46", + "id": "0536e454", "metadata": { "editable": true }, @@ -2160,7 +2160,7 @@ }, { "cell_type": "markdown", - "id": "1d29cec4", + "id": "4edf3a9e", "metadata": { "editable": true }, @@ -2172,7 +2172,7 @@ }, { "cell_type": "markdown", - "id": "7ef17636", + "id": "95b5e144", "metadata": { "editable": true }, @@ -2189,7 +2189,7 @@ }, { "cell_type": "markdown", - "id": "17963e0a", + "id": "4ec0202c", "metadata": { "editable": true }, @@ -2201,7 +2201,7 @@ }, { "cell_type": "markdown", - "id": "58693061", + "id": "3729c884", "metadata": { "editable": true }, @@ -2211,7 +2211,7 @@ }, { "cell_type": "markdown", - "id": "ed10ae30", + "id": "09d292c0", "metadata": { "editable": true }, @@ -2223,7 +2223,7 @@ }, { "cell_type": "markdown", - "id": "2ca576c8", + "id": "9393b969", "metadata": { "editable": true }, @@ -2233,7 +2233,7 @@ }, { "cell_type": "markdown", - "id": "de708fa8", + "id": "31400952", "metadata": { "editable": true }, @@ -2245,7 +2245,7 @@ }, { "cell_type": "markdown", - "id": "45ce65a1", + "id": "fab9fd56", "metadata": { "editable": true }, @@ -2255,7 +2255,7 @@ }, { "cell_type": "markdown", - "id": "ca73b735", + "id": "f6bbceee", "metadata": { "editable": true }, @@ -2271,7 +2271,7 @@ }, { "cell_type": "markdown", - "id": "a460cbc4", + "id": "2486e572", "metadata": { "editable": true }, @@ -2282,7 +2282,7 @@ { "cell_type": "code", "execution_count": 3, - "id": "520c4af0", + "id": "af100ade", "metadata": { "collapsed": false, "editable": true @@ -2347,7 +2347,7 @@ }, { "cell_type": "markdown", - "id": "e3e8854d", + "id": "e4b4ea82", "metadata": { "editable": true }, @@ -2358,7 +2358,7 @@ { "cell_type": "code", "execution_count": 4, - "id": "642a16bf", + "id": "13bb228b", "metadata": { "collapsed": false, "editable": true @@ -2415,7 +2415,7 @@ }, { "cell_type": "markdown", - "id": "143e1777", + "id": "c50c02c2", "metadata": { "editable": true }, @@ -2453,7 +2453,7 @@ }, { "cell_type": "markdown", - "id": "0ddb1890", + "id": "16a69276", "metadata": { "editable": true }, @@ -2464,7 +2464,7 @@ { "cell_type": "code", "execution_count": 5, - "id": "74c7f5dc", + "id": "06c4dbd1", "metadata": { "collapsed": false, "editable": true @@ -2546,7 +2546,7 @@ }, { "cell_type": "markdown", - "id": "8f89de90", + "id": "dd22f4e5", "metadata": { "editable": true }, @@ -2571,7 +2571,7 @@ }, { "cell_type": "markdown", - "id": "9465a17d", + "id": "1d78f931", "metadata": { "editable": true }, @@ -2599,7 +2599,7 @@ }, { "cell_type": "markdown", - "id": "d0e4b197", + "id": "a3e7ddb7", "metadata": { "editable": true }, @@ -2612,7 +2612,7 @@ { "cell_type": "code", "execution_count": 6, - "id": "8a0b7b89", + "id": "d7f6476c", "metadata": { "collapsed": false, "editable": true @@ -2712,7 +2712,7 @@ }, { "cell_type": "markdown", - "id": "a41beafb", + "id": "29f97a19", "metadata": { "editable": true }, @@ -2723,7 +2723,7 @@ { "cell_type": "code", "execution_count": 7, - "id": "e3038a58", + "id": "ea778a04", "metadata": { "collapsed": false, "editable": true @@ -2812,7 +2812,7 @@ }, { "cell_type": "markdown", - "id": "19f4f20f", + "id": "f5bc26cd", "metadata": { "editable": true }, @@ -2822,7 +2822,7 @@ }, { "cell_type": "markdown", - "id": "98b035c3", + "id": "4bbb49da", "metadata": { "editable": true }, @@ -2835,7 +2835,7 @@ { "cell_type": "code", "execution_count": 8, - "id": "6ce294be", + "id": "89f26923", "metadata": { "collapsed": false, "editable": true @@ -2913,7 +2913,7 @@ }, { "cell_type": "markdown", - "id": "63a7497b", + "id": "3d39d1c9", "metadata": { "editable": true }, @@ -2940,7 +2940,7 @@ { "cell_type": "code", "execution_count": 9, - "id": "938f039a", + "id": "2470e6f1", "metadata": { "collapsed": false, "editable": true @@ -3013,7 +3013,7 @@ }, { "cell_type": "markdown", - "id": "e732961c", + "id": "3e229ae7", "metadata": { "editable": true }, @@ -3033,7 +3033,7 @@ }, { "cell_type": "markdown", - "id": "4c89151d", + "id": "2d43d360", "metadata": { "editable": true }, @@ -3045,7 +3045,7 @@ }, { "cell_type": "markdown", - "id": "52318e4d", + "id": "777c97c9", "metadata": { "editable": true }, @@ -3062,7 +3062,7 @@ }, { "cell_type": "markdown", - "id": "b8dc7f6d", + "id": "f464bb58", "metadata": { "editable": true }, @@ -3074,7 +3074,7 @@ }, { "cell_type": "markdown", - "id": "0ea24a0d", + "id": "624b1d2c", "metadata": { "editable": true }, @@ -3084,7 +3084,7 @@ }, { "cell_type": "markdown", - "id": "47719be0", + "id": "b872d2db", "metadata": { "editable": true }, @@ -3096,7 +3096,7 @@ }, { "cell_type": "markdown", - "id": "4be82ca9", + "id": "d6dd0d07", "metadata": { "editable": true }, @@ -3106,7 +3106,7 @@ }, { "cell_type": "markdown", - "id": "778ad469", + "id": "2f7c34ed", "metadata": { "editable": true }, @@ -3118,7 +3118,7 @@ }, { "cell_type": "markdown", - "id": "c8690ebb", + "id": "7e06d400", "metadata": { "editable": true }, @@ -3129,7 +3129,7 @@ }, { "cell_type": "markdown", - "id": "19422394", + "id": "bad7ab31", "metadata": { "editable": true }, @@ -3141,7 +3141,7 @@ }, { "cell_type": "markdown", - "id": "bc1ec19a", + "id": "b11fd1d0", "metadata": { "editable": true }, @@ -3151,7 +3151,7 @@ }, { "cell_type": "markdown", - "id": "61370bdd", + "id": "e18f186d", "metadata": { "editable": true }, @@ -3163,7 +3163,7 @@ }, { "cell_type": "markdown", - "id": "9ff08be6", + "id": "002f906f", "metadata": { "editable": true }, @@ -3173,7 +3173,7 @@ }, { "cell_type": "markdown", - "id": "9cd5def5", + "id": "4b2ce40a", "metadata": { "editable": true }, @@ -3185,7 +3185,7 @@ }, { "cell_type": "markdown", - "id": "b080c860", + "id": "6f6da2aa", "metadata": { "editable": true }, @@ -3195,7 +3195,7 @@ }, { "cell_type": "markdown", - "id": "10fc1a84", + "id": "f8705ff4", "metadata": { "editable": true }, @@ -3207,7 +3207,7 @@ }, { "cell_type": "markdown", - "id": "df6a1ef4", + "id": "481c0458", "metadata": { "editable": true }, @@ -3217,7 +3217,7 @@ }, { "cell_type": "markdown", - "id": "c62e999c", + "id": "de837aab", "metadata": { "editable": true }, @@ -3229,7 +3229,7 @@ }, { "cell_type": "markdown", - "id": "e16831f8", + "id": "2c151900", "metadata": { "editable": true }, @@ -3239,7 +3239,7 @@ }, { "cell_type": "markdown", - "id": "863e58fa", + "id": "6df6dc61", "metadata": { "editable": true }, @@ -3251,7 +3251,7 @@ }, { "cell_type": "markdown", - "id": "b146fe2b", + "id": "6d6150d9", "metadata": { "editable": true }, @@ -3261,7 +3261,7 @@ }, { "cell_type": "markdown", - "id": "89ca9b85", + "id": "904ad761", "metadata": { "editable": true }, @@ -3273,7 +3273,7 @@ }, { "cell_type": "markdown", - "id": "323f217d", + "id": "0e427a81", "metadata": { "editable": true }, @@ -3283,7 +3283,7 @@ }, { "cell_type": "markdown", - "id": "ce63593a", + "id": "d40dc5aa", "metadata": { "editable": true }, @@ -3295,7 +3295,7 @@ }, { "cell_type": "markdown", - "id": "07c90e67", + "id": "259f8a07", "metadata": { "editable": true }, @@ -3307,7 +3307,7 @@ }, { "cell_type": "markdown", - "id": "467273e3", + "id": "be7a32a4", "metadata": { "editable": true }, @@ -3319,7 +3319,7 @@ }, { "cell_type": "markdown", - "id": "eaebf350", + "id": "e1723452", "metadata": { "editable": true }, @@ -3329,7 +3329,7 @@ }, { "cell_type": "markdown", - "id": "bdb72a09", + "id": "a8979b1c", "metadata": { "editable": true }, @@ -3341,7 +3341,7 @@ }, { "cell_type": "markdown", - "id": "68e0b318", + "id": "7c9b9a4d", "metadata": { "editable": true }, @@ -3354,7 +3354,7 @@ }, { "cell_type": "markdown", - "id": "9c298056", + "id": "6daf72ea", "metadata": { "editable": true }, @@ -3366,7 +3366,7 @@ }, { "cell_type": "markdown", - "id": "fa2668d8", + "id": "23161172", "metadata": { "editable": true }, @@ -3377,7 +3377,7 @@ { "cell_type": "code", "execution_count": 10, - "id": "010ff40f", + "id": "9b9f556f", "metadata": { "collapsed": false, "editable": true @@ -3450,7 +3450,7 @@ }, { "cell_type": "markdown", - "id": "e857615a", + "id": "b0a158df", "metadata": { "editable": true }, @@ -3463,7 +3463,7 @@ { "cell_type": "code", "execution_count": 11, - "id": "a3ad5ac3", + "id": "911c4d30", "metadata": { "collapsed": false, "editable": true diff --git a/doc/LectureNotes/_build/html/_sources/week38.ipynb b/doc/LectureNotes/_build/html/_sources/week38.ipynb index ecf4aa1bf..e1272fd7b 100644 --- a/doc/LectureNotes/_build/html/_sources/week38.ipynb +++ b/doc/LectureNotes/_build/html/_sources/week38.ipynb @@ -2,24 +2,24 @@ "cells": [ { "cell_type": "markdown", - "id": "cb86f430", + "id": "0b494ea6", "metadata": { "editable": true }, "source": [ "\n", - "" + "" ] }, { "cell_type": "markdown", - "id": "4cc51289", + "id": "90da9d2b", "metadata": { "editable": true }, "source": [ - "# Data Analysis and Machine Learning: Logistic Regression and Optimization\n", + "# Week38: Logistic Regression and Optimization\n", "**Morten Hjorth-Jensen**, Department of Physics and Center for Computing in Science Education, University of Oslo and Department of Physics and Astronomy and Facility for Rare Isotope Beams, Michigan State University\n", "\n", "Date: **September 18-22**" @@ -27,7 +27,7 @@ }, { "cell_type": "markdown", - "id": "4effd4a6", + "id": "c3a6f1f1", "metadata": { "editable": true }, @@ -68,7 +68,7 @@ }, { "cell_type": "markdown", - "id": "4f8e62fd", + "id": "2e6697dc", "metadata": { "editable": true }, @@ -78,7 +78,7 @@ }, { "cell_type": "markdown", - "id": "8f78b354", + "id": "2c3857b9", "metadata": { "editable": true }, @@ -103,7 +103,7 @@ }, { "cell_type": "markdown", - "id": "2ba4be50", + "id": "898f5fbd", "metadata": { "editable": true }, @@ -119,7 +119,7 @@ }, { "cell_type": "markdown", - "id": "896852cc", + "id": "125ee9e7", "metadata": { "editable": true }, @@ -135,7 +135,7 @@ }, { "cell_type": "markdown", - "id": "674628fb", + "id": "d2ff91ea", "metadata": { "editable": true }, @@ -149,7 +149,7 @@ }, { "cell_type": "markdown", - "id": "9d192ac9", + "id": "0405c112", "metadata": { "editable": true }, @@ -177,7 +177,7 @@ }, { "cell_type": "markdown", - "id": "81589865", + "id": "d9f25fad", "metadata": { "editable": true }, @@ -190,7 +190,7 @@ { "cell_type": "code", "execution_count": 1, - "id": "b49c2dca", + "id": "4ab6ce4c", "metadata": { "collapsed": false, "editable": true @@ -292,7 +292,7 @@ }, { "cell_type": "markdown", - "id": "bbaca54c", + "id": "5e114f13", "metadata": { "editable": true }, @@ -302,7 +302,7 @@ }, { "cell_type": "markdown", - "id": "96a59ddb", + "id": "c60627a6", "metadata": { "editable": true }, @@ -324,7 +324,7 @@ }, { "cell_type": "markdown", - "id": "8461ec35", + "id": "60b88002", "metadata": { "editable": true }, @@ -350,7 +350,7 @@ }, { "cell_type": "markdown", - "id": "16112d6b", + "id": "167ecda4", "metadata": { "editable": true }, @@ -374,7 +374,7 @@ }, { "cell_type": "markdown", - "id": "e2849363", + "id": "bbd29f6f", "metadata": { "editable": true }, @@ -399,7 +399,7 @@ }, { "cell_type": "markdown", - "id": "fbb52ff9", + "id": "9c222482", "metadata": { "editable": true }, @@ -411,7 +411,7 @@ }, { "cell_type": "markdown", - "id": "21a602f7", + "id": "dfb0f83c", "metadata": { "editable": true }, @@ -429,7 +429,7 @@ }, { "cell_type": "markdown", - "id": "229fd557", + "id": "e90ec9af", "metadata": { "editable": true }, @@ -447,7 +447,7 @@ }, { "cell_type": "markdown", - "id": "ccbbfeec", + "id": "859f730d", "metadata": { "editable": true }, @@ -458,7 +458,7 @@ }, { "cell_type": "markdown", - "id": "8acaa1da", + "id": "997ef897", "metadata": { "editable": true }, @@ -485,7 +485,7 @@ }, { "cell_type": "markdown", - "id": "7a4ea5cd", + "id": "f0c5fe42", "metadata": { "editable": true }, @@ -498,7 +498,7 @@ { "cell_type": "code", "execution_count": 2, - "id": "be7fa2a1", + "id": "2bec70c4", "metadata": { "collapsed": false, "editable": true @@ -563,7 +563,7 @@ }, { "cell_type": "markdown", - "id": "3b440e71", + "id": "30a17325", "metadata": { "editable": true }, @@ -576,7 +576,7 @@ { "cell_type": "code", "execution_count": 3, - "id": "edc460e4", + "id": "db0681f4", "metadata": { "collapsed": false, "editable": true @@ -595,7 +595,7 @@ }, { "cell_type": "markdown", - "id": "b5c82668", + "id": "aab92dce", "metadata": { "editable": true }, @@ -606,7 +606,7 @@ }, { "cell_type": "markdown", - "id": "a410cb05", + "id": "f7e032e8", "metadata": { "editable": true }, @@ -618,7 +618,7 @@ }, { "cell_type": "markdown", - "id": "f12d3df2", + "id": "88cffa5f", "metadata": { "editable": true }, @@ -637,7 +637,7 @@ }, { "cell_type": "markdown", - "id": "e78eee22", + "id": "df301565", "metadata": { "editable": true }, @@ -659,7 +659,7 @@ }, { "cell_type": "markdown", - "id": "7d2d956a", + "id": "06757d21", "metadata": { "editable": true }, @@ -671,7 +671,7 @@ }, { "cell_type": "markdown", - "id": "27e7667c", + "id": "bc583653", "metadata": { "editable": true }, @@ -681,7 +681,7 @@ }, { "cell_type": "markdown", - "id": "a6f7ef5f", + "id": "dc5b4a64", "metadata": { "editable": true }, @@ -694,7 +694,7 @@ { "cell_type": "code", "execution_count": 4, - "id": "beb453ae", + "id": "d227cb61", "metadata": { "collapsed": false, "editable": true @@ -759,7 +759,7 @@ }, { "cell_type": "markdown", - "id": "e5770c37", + "id": "80b0d77c", "metadata": { "editable": true }, @@ -771,7 +771,7 @@ }, { "cell_type": "markdown", - "id": "7517a75b", + "id": "29f96f4e", "metadata": { "editable": true }, @@ -786,7 +786,7 @@ }, { "cell_type": "markdown", - "id": "650b0605", + "id": "cb5b89a3", "metadata": { "editable": true }, @@ -798,7 +798,7 @@ }, { "cell_type": "markdown", - "id": "4f092726", + "id": "3aaa8cb2", "metadata": { "editable": true }, @@ -810,7 +810,7 @@ }, { "cell_type": "markdown", - "id": "b7aac644", + "id": "f127a0b4", "metadata": { "editable": true }, @@ -827,7 +827,7 @@ }, { "cell_type": "markdown", - "id": "d7ad8b22", + "id": "756c95da", "metadata": { "editable": true }, @@ -841,7 +841,7 @@ }, { "cell_type": "markdown", - "id": "ae21e24d", + "id": "51bd5d67", "metadata": { "editable": true }, @@ -851,7 +851,7 @@ }, { "cell_type": "markdown", - "id": "807458e5", + "id": "16433c1b", "metadata": { "editable": true }, @@ -863,7 +863,7 @@ }, { "cell_type": "markdown", - "id": "197b83d2", + "id": "4bccbbfa", "metadata": { "editable": true }, @@ -875,7 +875,7 @@ }, { "cell_type": "markdown", - "id": "44b0995e", + "id": "ac368dcc", "metadata": { "editable": true }, @@ -887,7 +887,7 @@ }, { "cell_type": "markdown", - "id": "5bcae081", + "id": "e55fc1db", "metadata": { "editable": true }, @@ -898,7 +898,7 @@ }, { "cell_type": "markdown", - "id": "2b8eeca9", + "id": "3d545f73", "metadata": { "editable": true }, @@ -910,7 +910,7 @@ }, { "cell_type": "markdown", - "id": "8317ce32", + "id": "0c524099", "metadata": { "editable": true }, @@ -921,7 +921,7 @@ }, { "cell_type": "markdown", - "id": "bab40f0d", + "id": "3650ccf4", "metadata": { "editable": true }, @@ -937,7 +937,7 @@ }, { "cell_type": "markdown", - "id": "5765c9a8", + "id": "4c4c8aca", "metadata": { "editable": true }, @@ -949,7 +949,7 @@ }, { "cell_type": "markdown", - "id": "d774aa8b", + "id": "e4c3881f", "metadata": { "editable": true }, @@ -959,7 +959,7 @@ }, { "cell_type": "markdown", - "id": "1318ab88", + "id": "23de5d28", "metadata": { "editable": true }, @@ -971,7 +971,7 @@ }, { "cell_type": "markdown", - "id": "163402af", + "id": "aa0c436c", "metadata": { "editable": true }, @@ -986,7 +986,7 @@ }, { "cell_type": "markdown", - "id": "4cec3a98", + "id": "f8ffa13e", "metadata": { "editable": true }, @@ -998,7 +998,7 @@ }, { "cell_type": "markdown", - "id": "a35664dd", + "id": "7144f6c1", "metadata": { "editable": true }, @@ -1009,7 +1009,7 @@ }, { "cell_type": "markdown", - "id": "ec963b66", + "id": "77421ac2", "metadata": { "editable": true }, @@ -1021,7 +1021,7 @@ }, { "cell_type": "markdown", - "id": "d2a36ef0", + "id": "b6f7ac07", "metadata": { "editable": true }, @@ -1033,7 +1033,7 @@ }, { "cell_type": "markdown", - "id": "a3226ac4", + "id": "b8d2d928", "metadata": { "editable": true }, @@ -1045,7 +1045,7 @@ }, { "cell_type": "markdown", - "id": "16e7e473", + "id": "4b37082b", "metadata": { "editable": true }, @@ -1055,7 +1055,7 @@ }, { "cell_type": "markdown", - "id": "7d0a130a", + "id": "5158d23f", "metadata": { "editable": true }, @@ -1067,7 +1067,7 @@ }, { "cell_type": "markdown", - "id": "c54623d4", + "id": "0072b639", "metadata": { "editable": true }, @@ -1081,7 +1081,7 @@ }, { "cell_type": "markdown", - "id": "00844169", + "id": "394b9ebc", "metadata": { "editable": true }, @@ -1093,7 +1093,7 @@ }, { "cell_type": "markdown", - "id": "4a68e365", + "id": "0367a358", "metadata": { "editable": true }, @@ -1103,7 +1103,7 @@ }, { "cell_type": "markdown", - "id": "7ba85467", + "id": "1ce428ea", "metadata": { "editable": true }, @@ -1115,7 +1115,7 @@ }, { "cell_type": "markdown", - "id": "5cb5f91c", + "id": "eb3ae96a", "metadata": { "editable": true }, @@ -1125,7 +1125,7 @@ }, { "cell_type": "markdown", - "id": "d569fad0", + "id": "2483ed50", "metadata": { "editable": true }, @@ -1137,7 +1137,7 @@ }, { "cell_type": "markdown", - "id": "69a85b11", + "id": "89f8e150", "metadata": { "editable": true }, @@ -1148,7 +1148,7 @@ }, { "cell_type": "markdown", - "id": "a360769e", + "id": "79e0f734", "metadata": { "editable": true }, @@ -1171,7 +1171,7 @@ }, { "cell_type": "markdown", - "id": "d800868a", + "id": "1eeb2348", "metadata": { "editable": true }, @@ -1183,7 +1183,7 @@ }, { "cell_type": "markdown", - "id": "ecbb23bc", + "id": "ec09edd7", "metadata": { "editable": true }, @@ -1193,7 +1193,7 @@ }, { "cell_type": "markdown", - "id": "514135d1", + "id": "e261070d", "metadata": { "editable": true }, @@ -1205,7 +1205,7 @@ }, { "cell_type": "markdown", - "id": "9c75f2f0", + "id": "cbbb1dac", "metadata": { "editable": true }, @@ -1222,7 +1222,7 @@ }, { "cell_type": "markdown", - "id": "5e0ab612", + "id": "c6c3a8fa", "metadata": { "editable": true }, @@ -1232,7 +1232,7 @@ }, { "cell_type": "markdown", - "id": "22e6a09a", + "id": "6b394457", "metadata": { "editable": true }, @@ -1251,7 +1251,7 @@ { "cell_type": "code", "execution_count": 5, - "id": "635f2943", + "id": "f6da358e", "metadata": { "collapsed": false, "editable": true @@ -1306,7 +1306,7 @@ }, { "cell_type": "markdown", - "id": "e983ec8b", + "id": "1d8d1d9f", "metadata": { "editable": true }, @@ -1318,7 +1318,7 @@ }, { "cell_type": "markdown", - "id": "714db596", + "id": "65eeebcf", "metadata": { "editable": true }, @@ -1333,7 +1333,7 @@ { "cell_type": "code", "execution_count": 6, - "id": "2b8746d9", + "id": "77d97499", "metadata": { "collapsed": false, "editable": true @@ -1386,7 +1386,7 @@ }, { "cell_type": "markdown", - "id": "056076d6", + "id": "f2f4750d", "metadata": { "editable": true }, @@ -1401,7 +1401,7 @@ }, { "cell_type": "markdown", - "id": "53b3ce68", + "id": "9f781457", "metadata": { "editable": true }, @@ -1421,7 +1421,7 @@ { "cell_type": "code", "execution_count": 7, - "id": "98e7b845", + "id": "da22d163", "metadata": { "collapsed": false, "editable": true @@ -1475,7 +1475,7 @@ }, { "cell_type": "markdown", - "id": "267aa1f0", + "id": "a0647ab9", "metadata": { "editable": true }, @@ -1490,7 +1490,7 @@ { "cell_type": "code", "execution_count": 8, - "id": "c2f97e44", + "id": "428ce4c8", "metadata": { "collapsed": false, "editable": true @@ -1517,7 +1517,7 @@ }, { "cell_type": "markdown", - "id": "3bf90493", + "id": "8e1508d4", "metadata": { "editable": true }, @@ -1531,7 +1531,7 @@ { "cell_type": "code", "execution_count": 9, - "id": "a514f0db", + "id": "b8aa57d8", "metadata": { "collapsed": false, "editable": true @@ -1576,7 +1576,7 @@ }, { "cell_type": "markdown", - "id": "4ce33137", + "id": "a1d7e4bd", "metadata": { "editable": true }, @@ -1601,7 +1601,7 @@ { "cell_type": "code", "execution_count": 10, - "id": "16ee3de4", + "id": "3e331b35", "metadata": { "collapsed": false, "editable": true @@ -1613,7 +1613,7 @@ }, { "cell_type": "markdown", - "id": "8b599328", + "id": "db930713", "metadata": { "editable": true }, @@ -1624,7 +1624,7 @@ { "cell_type": "code", "execution_count": 11, - "id": "23095afc", + "id": "02dae1a8", "metadata": { "collapsed": false, "editable": true @@ -1636,7 +1636,7 @@ }, { "cell_type": "markdown", - "id": "e4874372", + "id": "318e74f5", "metadata": { "editable": true }, @@ -1649,7 +1649,7 @@ }, { "cell_type": "markdown", - "id": "187aa4c2", + "id": "149109ff", "metadata": { "editable": true }, @@ -1660,7 +1660,7 @@ { "cell_type": "code", "execution_count": 12, - "id": "43e3eaf5", + "id": "70658003", "metadata": { "collapsed": false, "editable": true @@ -1703,7 +1703,7 @@ }, { "cell_type": "markdown", - "id": "3aaa0d22", + "id": "cf392404", "metadata": { "editable": true }, @@ -1724,7 +1724,7 @@ }, { "cell_type": "markdown", - "id": "507ab04c", + "id": "627a82d1", "metadata": { "editable": true }, @@ -1741,7 +1741,7 @@ }, { "cell_type": "markdown", - "id": "dd3a9890", + "id": "53a886d1", "metadata": { "editable": true }, @@ -1756,7 +1756,7 @@ }, { "cell_type": "markdown", - "id": "9bd7b12b", + "id": "9c65f72b", "metadata": { "editable": true }, @@ -1766,7 +1766,7 @@ }, { "cell_type": "markdown", - "id": "74264591", + "id": "cf3fd12e", "metadata": { "editable": true }, @@ -1782,7 +1782,7 @@ }, { "cell_type": "markdown", - "id": "9a112aae", + "id": "f780fb85", "metadata": { "editable": true }, @@ -1794,7 +1794,7 @@ }, { "cell_type": "markdown", - "id": "ecea77fa", + "id": "5c093899", "metadata": { "editable": true }, @@ -1805,7 +1805,7 @@ }, { "cell_type": "markdown", - "id": "113a6cbf", + "id": "af1850c8", "metadata": { "editable": true }, @@ -1817,7 +1817,7 @@ }, { "cell_type": "markdown", - "id": "b9b8b59b", + "id": "fd478976", "metadata": { "editable": true }, @@ -1827,7 +1827,7 @@ }, { "cell_type": "markdown", - "id": "ddaa0682", + "id": "bc78b5ec", "metadata": { "editable": true }, @@ -1841,7 +1841,7 @@ }, { "cell_type": "markdown", - "id": "28e37cd9", + "id": "801cdce2", "metadata": { "editable": true }, @@ -1853,7 +1853,7 @@ }, { "cell_type": "markdown", - "id": "8c9f3034", + "id": "96e31a47", "metadata": { "editable": true }, @@ -1863,7 +1863,7 @@ }, { "cell_type": "markdown", - "id": "d040cd22", + "id": "07ef0b2c", "metadata": { "editable": true }, @@ -1875,7 +1875,7 @@ }, { "cell_type": "markdown", - "id": "f5b24924", + "id": "50ee0bd0", "metadata": { "editable": true }, @@ -1887,7 +1887,7 @@ }, { "cell_type": "markdown", - "id": "9c94f797", + "id": "45e6ddc2", "metadata": { "editable": true }, @@ -1907,7 +1907,7 @@ }, { "cell_type": "markdown", - "id": "7870dd6c", + "id": "49965ec9", "metadata": { "editable": true }, @@ -1923,7 +1923,7 @@ }, { "cell_type": "markdown", - "id": "88e8720c", + "id": "ce01e249", "metadata": { "editable": true }, @@ -1939,7 +1939,7 @@ }, { "cell_type": "markdown", - "id": "faaff6e9", + "id": "7188f0fd", "metadata": { "editable": true }, @@ -1950,7 +1950,7 @@ }, { "cell_type": "markdown", - "id": "ac29f934", + "id": "4fe27528", "metadata": { "editable": true }, @@ -1962,7 +1962,7 @@ }, { "cell_type": "markdown", - "id": "1b7fd3d6", + "id": "a10d21c7", "metadata": { "editable": true }, @@ -1972,7 +1972,7 @@ }, { "cell_type": "markdown", - "id": "f5bf0abb", + "id": "911c23ed", "metadata": { "editable": true }, @@ -1984,7 +1984,7 @@ }, { "cell_type": "markdown", - "id": "5d3a94c6", + "id": "a021ace4", "metadata": { "editable": true }, @@ -1994,7 +1994,7 @@ }, { "cell_type": "markdown", - "id": "5c3afe9c", + "id": "6762bf3a", "metadata": { "editable": true }, @@ -2006,7 +2006,7 @@ }, { "cell_type": "markdown", - "id": "af56d45c", + "id": "f1fa9dbe", "metadata": { "editable": true }, @@ -2028,7 +2028,7 @@ }, { "cell_type": "markdown", - "id": "ef2d43ec", + "id": "4ea539dd", "metadata": { "editable": true }, @@ -2041,7 +2041,7 @@ }, { "cell_type": "markdown", - "id": "ff545470", + "id": "b55586b9", "metadata": { "editable": true }, @@ -2054,7 +2054,7 @@ }, { "cell_type": "markdown", - "id": "d30af50d", + "id": "1e3daa87", "metadata": { "editable": true }, @@ -2064,7 +2064,7 @@ }, { "cell_type": "markdown", - "id": "ad05b2dc", + "id": "914b3064", "metadata": { "editable": true }, @@ -2082,7 +2082,7 @@ }, { "cell_type": "markdown", - "id": "385dc2e9", + "id": "6e347a22", "metadata": { "editable": true }, @@ -2092,7 +2092,7 @@ }, { "cell_type": "markdown", - "id": "dfbc17f1", + "id": "811236e6", "metadata": { "editable": true }, @@ -2107,7 +2107,7 @@ }, { "cell_type": "markdown", - "id": "af1bb741", + "id": "41d436ef", "metadata": { "editable": true }, @@ -2117,7 +2117,7 @@ }, { "cell_type": "markdown", - "id": "35f91915", + "id": "aed63914", "metadata": { "editable": true }, @@ -2131,7 +2131,7 @@ }, { "cell_type": "markdown", - "id": "46739492", + "id": "d76da720", "metadata": { "editable": true }, @@ -2141,7 +2141,7 @@ }, { "cell_type": "markdown", - "id": "167b3c36", + "id": "3bf89cee", "metadata": { "editable": true }, @@ -2155,7 +2155,7 @@ }, { "cell_type": "markdown", - "id": "4ac4074b", + "id": "b3cb9607", "metadata": { "editable": true }, @@ -2170,7 +2170,7 @@ }, { "cell_type": "markdown", - "id": "20552503", + "id": "f12cccf8", "metadata": { "editable": true }, @@ -2187,7 +2187,7 @@ }, { "cell_type": "markdown", - "id": "812a5639", + "id": "a872b818", "metadata": { "editable": true }, @@ -2199,7 +2199,7 @@ }, { "cell_type": "markdown", - "id": "5238c2ec", + "id": "df8dc1b7", "metadata": { "editable": true }, @@ -2213,7 +2213,7 @@ }, { "cell_type": "markdown", - "id": "22696e96", + "id": "47077f1c", "metadata": { "editable": true }, @@ -2228,7 +2228,7 @@ }, { "cell_type": "markdown", - "id": "db14dc52", + "id": "a99e0558", "metadata": { "editable": true }, @@ -2240,7 +2240,7 @@ }, { "cell_type": "markdown", - "id": "251f4cd5", + "id": "69ca8e78", "metadata": { "editable": true }, @@ -2251,7 +2251,7 @@ }, { "cell_type": "markdown", - "id": "a9272ac2", + "id": "ce013df2", "metadata": { "editable": true }, @@ -2279,7 +2279,7 @@ }, { "cell_type": "markdown", - "id": "9def0e00", + "id": "712af387", "metadata": { "editable": true }, @@ -2301,7 +2301,7 @@ }, { "cell_type": "markdown", - "id": "7b5a0e15", + "id": "b8a484b6", "metadata": { "editable": true }, @@ -2323,7 +2323,7 @@ }, { "cell_type": "markdown", - "id": "6408d297", + "id": "af202251", "metadata": { "editable": true }, @@ -2335,7 +2335,7 @@ }, { "cell_type": "markdown", - "id": "a6333821", + "id": "c7bfe7e2", "metadata": { "editable": true }, @@ -2372,7 +2372,7 @@ }, { "cell_type": "markdown", - "id": "deb959a8", + "id": "71875b49", "metadata": { "editable": true }, @@ -2400,7 +2400,7 @@ }, { "cell_type": "markdown", - "id": "26af7024", + "id": "5cfcecf6", "metadata": { "editable": true }, @@ -2430,7 +2430,7 @@ }, { "cell_type": "markdown", - "id": "77c5a9be", + "id": "19b80b94", "metadata": { "editable": true }, @@ -2454,7 +2454,7 @@ { "cell_type": "code", "execution_count": 13, - "id": "84e1390d", + "id": "8f73b2a8", "metadata": { "collapsed": false, "editable": true @@ -2467,7 +2467,7 @@ }, { "cell_type": "markdown", - "id": "1f6c4b71", + "id": "9989b8c3", "metadata": { "editable": true }, @@ -2478,7 +2478,7 @@ }, { "cell_type": "markdown", - "id": "e9322364", + "id": "852fe5d5", "metadata": { "editable": true }, @@ -2490,7 +2490,7 @@ }, { "cell_type": "markdown", - "id": "8df2dc30", + "id": "091f8620", "metadata": { "editable": true }, @@ -2500,7 +2500,7 @@ }, { "cell_type": "markdown", - "id": "4c998424", + "id": "0dd232b7", "metadata": { "editable": true }, @@ -2512,7 +2512,7 @@ }, { "cell_type": "markdown", - "id": "5cc298b4", + "id": "3222d227", "metadata": { "editable": true }, @@ -2526,7 +2526,7 @@ }, { "cell_type": "markdown", - "id": "47b4e1ad", + "id": "a59b3f1e", "metadata": { "editable": true }, @@ -2542,7 +2542,7 @@ }, { "cell_type": "markdown", - "id": "48b3c64c", + "id": "30b95a6d", "metadata": { "editable": true }, @@ -2552,7 +2552,7 @@ }, { "cell_type": "markdown", - "id": "aaf584ba", + "id": "11018a2d", "metadata": { "editable": true }, @@ -2564,7 +2564,7 @@ }, { "cell_type": "markdown", - "id": "00653f5c", + "id": "c14db566", "metadata": { "editable": true }, @@ -2574,7 +2574,7 @@ }, { "cell_type": "markdown", - "id": "0fab7442", + "id": "7b77152c", "metadata": { "editable": true }, @@ -2586,7 +2586,7 @@ }, { "cell_type": "markdown", - "id": "1ecc330c", + "id": "6d7e84ae", "metadata": { "editable": true }, @@ -2600,7 +2600,7 @@ }, { "cell_type": "markdown", - "id": "06e352e9", + "id": "67b0c185", "metadata": { "editable": true }, @@ -2610,7 +2610,7 @@ }, { "cell_type": "markdown", - "id": "069834e9", + "id": "049ced67", "metadata": { "editable": true }, @@ -2621,7 +2621,7 @@ }, { "cell_type": "markdown", - "id": "4917c720", + "id": "94228d75", "metadata": { "editable": true }, @@ -2636,7 +2636,7 @@ }, { "cell_type": "markdown", - "id": "8412ae0e", + "id": "3bbb056f", "metadata": { "editable": true }, @@ -2646,7 +2646,7 @@ }, { "cell_type": "markdown", - "id": "0d5f4b35", + "id": "6644d6e8", "metadata": { "editable": true }, @@ -2658,7 +2658,7 @@ }, { "cell_type": "markdown", - "id": "0706040a", + "id": "bcee0d8a", "metadata": { "editable": true }, @@ -2670,7 +2670,7 @@ }, { "cell_type": "markdown", - "id": "6836bad3", + "id": "4ab67fa4", "metadata": { "editable": true }, @@ -2685,7 +2685,7 @@ }, { "cell_type": "markdown", - "id": "bddbe55a", + "id": "b42565b3", "metadata": { "editable": true }, @@ -2698,7 +2698,7 @@ { "cell_type": "code", "execution_count": 14, - "id": "d04f42f5", + "id": "3654008d", "metadata": { "collapsed": false, "editable": true @@ -2755,7 +2755,7 @@ }, { "cell_type": "markdown", - "id": "0a690556", + "id": "1e30a1cf", "metadata": { "editable": true }, @@ -2766,7 +2766,7 @@ { "cell_type": "code", "execution_count": 15, - "id": "0a535f48", + "id": "c140f1de", "metadata": { "collapsed": false, "editable": true @@ -2793,7 +2793,7 @@ }, { "cell_type": "markdown", - "id": "b2236395", + "id": "7f5519e5", "metadata": { "editable": true }, @@ -2805,7 +2805,7 @@ }, { "cell_type": "markdown", - "id": "782bb6aa", + "id": "b38c88bf", "metadata": { "editable": true }, @@ -2817,7 +2817,7 @@ }, { "cell_type": "markdown", - "id": "33d04698", + "id": "077beecb", "metadata": { "editable": true }, @@ -2827,7 +2827,7 @@ }, { "cell_type": "markdown", - "id": "fc8f43d5", + "id": "a995831b", "metadata": { "editable": true }, @@ -2841,7 +2841,7 @@ }, { "cell_type": "markdown", - "id": "0e1a40dd", + "id": "d2822925", "metadata": { "editable": true }, @@ -2851,7 +2851,7 @@ }, { "cell_type": "markdown", - "id": "8940cbda", + "id": "d13a3641", "metadata": { "editable": true }, @@ -2863,7 +2863,7 @@ }, { "cell_type": "markdown", - "id": "d7cccaa8", + "id": "5616c93b", "metadata": { "editable": true }, @@ -2874,7 +2874,7 @@ }, { "cell_type": "markdown", - "id": "8780e503", + "id": "11a11f4c", "metadata": { "editable": true }, @@ -2889,7 +2889,7 @@ }, { "cell_type": "markdown", - "id": "7b6a1cc9", + "id": "4fbaf22a", "metadata": { "editable": true }, @@ -2903,7 +2903,7 @@ }, { "cell_type": "markdown", - "id": "d2c9b020", + "id": "8023c1cf", "metadata": { "editable": true }, @@ -2914,7 +2914,7 @@ { "cell_type": "code", "execution_count": 16, - 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Linear Regression","14. Building a Feed Forward Neural Network","15. Solving Differential Equations with Deep Learning","16. Convolutional Neural Networks","17. Recurrent neural networks: Overarching view","4. Ridge and Lasso Regression","5. Resampling Methods","6. Logistic Regression","8. Support Vector Machines, overarching aims","9. Decision trees, overarching aims","10. Ensemble Methods: From a Single Tree to Many Trees and Extreme Boosting, Meet the Jungle of Methods","11. Basic ideas of the Principal Component Analysis (PCA)","13. Neural networks","7. Optimization, the central part of any Machine Learning algortithm","12. Clustering and Unsupervised Learning","Exercises week 34","Exercises week 35","Exercises week 36","Exercises week 37","Exercises week 38","Applied Data Analysis and Machine Learning","2. Linear Algebra, Handling of Arrays and more Python Features","Project 1 on Machine Learning, deadline October 9 (midnight), 2023","Teaching schedule with links to material","1. 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Linear Regression","14. Building a Feed Forward Neural Network","15. Solving Differential Equations with Deep Learning","16. Convolutional Neural Networks","17. Recurrent neural networks: Overarching view","4. Ridge and Lasso Regression","5. Resampling Methods","6. Logistic Regression","8. Support Vector Machines, overarching aims","9. Decision trees, overarching aims","10. Ensemble Methods: From a Single Tree to Many Trees and Extreme Boosting, Meet the Jungle of Methods","11. Basic ideas of the Principal Component Analysis (PCA)","13. Neural networks","7. Optimization, the central part of any Machine Learning algortithm","12. Clustering and Unsupervised Learning","Exercises week 34","Exercises week 35","Exercises week 36","Exercises week 37","Exercises week 38","Applied Data Analysis and Machine Learning","2. Linear Algebra, Handling of Arrays and more Python Features","Project 1 on Machine Learning, deadline October 9 (midnight), 2023","Teaching schedule with links to material","1. Elements of Probability Theory and Statistical Data Analysis","Teachers and Grading","Textbooks","Week 34: Introduction to the course, Logistics and Practicalities","Week 35: From Ordinary Linear Regression to Ridge and Lasso Regression","Week 36: Statistical interpretation of Linear Regression and Resampling techniques","Week 37: Statistical interpretations and Resampling Methods","Week38: Logistic Regression and 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\ No newline at end of file diff --git a/doc/LectureNotes/_build/html/week37.html b/doc/LectureNotes/_build/html/week37.html index 4851c040d..5c06a8ff8 100644 --- a/doc/LectureNotes/_build/html/week37.html +++ b/doc/LectureNotes/_build/html/week37.html @@ -5,7 +5,7 @@ - Week 37: Statitsitcal interpretations and Resampling Methods — Applied Data Analysis and Machine Learning + Week 37: Statistical interpretations and Resampling Methods — Applied Data Analysis and Machine Learning @@ -55,7 +55,7 @@ const thebe_selector_output = ".output, .cell_output" - + @@ -285,7 +285,17 @@ const thebe_selector_output = ".output, .cell_output"
  • - Week 37: Statitsitcal interpretations and Resampling Methods + Week 37: Statistical interpretations and Resampling Methods + +
    • +
  • + + Exercises week 38 + +
    • +
  • + + Week38: Logistic Regression and Optimization
    • @@ -657,7 +667,7 @@ const thebe_selector_output = ".output, .cell_output"
    -

    Week 37: Statitsitcal interpretations and Resampling Methods

    +

    Week 37: Statistical interpretations and Resampling Methods

    @@ -954,10 +964,10 @@ const thebe_selector_output = ".output, .cell_output" -
    -

    Week 37: Statitsitcal interpretations and Resampling Methods¶

    +
    +

    Week 37: Statistical interpretations and Resampling Methods¶

    Morten Hjorth-Jensen, Department of Physics, University of Oslo and Department of Physics and Astronomy and Facility for Rare Isotope Beams, Michigan State University

    -

    Date: Sep 14, 2023

    +

    Date: Sep 18, 2023

    Copyright 1999-2023, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license

    Plans for week 37¶

    @@ -1767,7 +1777,7 @@ theorem.

    Bootstrap Statistics :
 original           bias      std. error
- 99.9713   14.943         99.972        0.149583
+  99.971  15.2789        99.9715        0.152907
    @@ -2002,14 +2012,14 @@ Error: 0.06844519414009445 Bias^2: 0.06453579006728322 Var: 0.003909404072811221 0.06844519414009445 >= 0.06453579006728322 + 0.003909404072811221 = 0.06844519414009444 -
    -
    -
    Polynomial degree: 5
+Polynomial degree: 5
 Error: 0.05227921801205679
 Bias^2: 0.04818727730430286
 Var: 0.004091940707753925
 0.05227921801205679 >= 0.04818727730430286 + 0.004091940707753925 = 0.05227921801205679
-Polynomial degree: 6
+
    +
    +
    Polynomial degree: 6
 Error: 0.03781367141738902
 Bias^2: 0.03365768507152769
 Var: 0.0041559863458613296
@@ -2029,14 +2039,14 @@ Error: 0.026605727637184558
 Bias^2: 0.010018312644139219
 Var: 0.016587414993045335
 0.026605727637184558 >= 0.010018312644139219 + 0.016587414993045335 = 0.026605727637184554
-Polynomial degree: 10
+
    +
    +
    Polynomial degree: 10
 Error: 0.021592704588021178
 Bias^2: 0.010516485576646504
 Var: 0.01107621901137467
 0.021592704588021178 >= 0.010516485576646504 + 0.01107621901137467 = 0.021592704588021174
-
    -
    -
    Polynomial degree: 11
+Polynomial degree: 11
 Error: 0.07160048164232538
 Bias^2: 0.014436800088896381
 Var: 0.05716368155342902
@@ -2473,12 +2483,12 @@ Mean squared error on test data: 238.16356503
 Degree of polynomial:  20
 Mean squared error on training data: 0.00140849
 Mean squared error on test data: 1345.68592431
-
    -
    -
    Degree of polynomial:  21
+Degree of polynomial:  21
 Mean squared error on training data: 0.00119699
 Mean squared error on test data: 1836.21110005
-Degree of polynomial:  22
+
    +
    +
    Degree of polynomial:  22
 Mean squared error on training data: 0.00092904
 Mean squared error on test data: 1182.64316482
 Degree of polynomial:  23
@@ -2493,12 +2503,12 @@ Mean squared error on test data: 7697.35412147
 Degree of polynomial:  26
 Mean squared error on training data: 0.00075597
 Mean squared error on test data: 1078.81597834
-
    -
    -
    Degree of polynomial:  27
+Degree of polynomial:  27
 Mean squared error on training data: 0.00068088
 Mean squared error on test data: 3189.20355156
-Degree of polynomial:  28
+
    +
    +
    Degree of polynomial:  28
 Mean squared error on training data: 0.00063364
 Mean squared error on test data: 692.24085321
 Degree of polynomial:  29
@@ -2506,9 +2516,9 @@ Mean squared error on training data: 0.00063862
 Mean squared error on test data: 3073.63180447
    -
    /var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_31560/626635268.py:73: RuntimeWarning: divide by zero encountered in log10
+
    /var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_10727/626635268.py:73: RuntimeWarning: divide by zero encountered in log10
   plt.plot(polynomial, np.log10(trainingerror), label='Training Error')
-/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_31560/626635268.py:74: RuntimeWarning: divide by zero encountered in log10
+/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_10727/626635268.py:74: RuntimeWarning: divide by zero encountered in log10
   plt.plot(polynomial, np.log10(testerror), label='Test Error')
 
    
 
    
@@ -2593,7 +2603,7 @@ Mean squared error on test data: 3073.63180447
    -
    /var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_31560/3817475779.py:63: RuntimeWarning: divide by zero encountered in log10
+
    /var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_10727/3817475779.py:63: RuntimeWarning: divide by zero encountered in log10
   plt.plot(polynomial, np.log10(estimated_mse_sklearn), label='Test Error')
 
    
 
    
@@ -2990,10 +3000,10 @@ using the standardscaler functionality of the library
             
    Exercises week 37
    - +

    next

    -

    Project 1 on Machine Learning, deadline October 9 (midnight), 2023

    +

    Exercises week 38

     diff --git a/doc/LectureNotes/_build/html/week38.html b/doc/LectureNotes/_build/html/week38.html index eb89f3616..a3fd96ba3 100644 --- a/doc/LectureNotes/_build/html/week38.html +++ b/doc/LectureNotes/_build/html/week38.html @@ -5,7 +5,7 @@ - Data Analysis and Machine Learning: Logistic Regression and Optimization — Applied Data Analysis and Machine Learning + Week38: Logistic Regression and Optimization — Applied Data Analysis and Machine Learning @@ -285,7 +285,7 @@ const thebe_selector_output = ".output, .cell_output"
  • - Week 37: Statitsitcal interpretations and Resampling Methods + Week 37: Statistical interpretations and Resampling Methods
  • @@ -295,7 +295,7 @@ const thebe_selector_output = ".output, .cell_output"
  • - Data Analysis and Machine Learning: Logistic Regression and Optimization + Week38: Logistic Regression and Optimization
    • @@ -711,7 +711,7 @@ const thebe_selector_output = ".output, .cell_output"
    -

    Data Analysis and Machine Learning: Logistic Regression and Optimization

    +

    Week38: Logistic Regression and Optimization

    @@ -1052,8 +1052,8 @@ const thebe_selector_output = ".output, .cell_output" -
    -

    Data Analysis and Machine Learning: Logistic Regression and Optimization¶

    +
    +

    Week38: Logistic Regression and Optimization¶

    Morten Hjorth-Jensen, Department of Physics and Center for Computing in Science Education, University of Oslo and Department of Physics and Astronomy and Facility for Rare Isotope Beams, Michigan State University

    Date: September 18-22

    @@ -1994,7 +1994,7 @@ case under study.

    RandomizedSearchCV(estimator=Ridge(), n_iter=100,
-                   param_distributions={'alpha': <scipy.stats._distn_infrastructure.rv_frozen object at 0x130057e80>})
+                   param_distributions={'alpha': <scipy.stats._distn_infrastructure.rv_frozen object at 0x128a2b580>})
 Best estimated lambda-value: 0.9849967686928113
 MSE score: 1.0853136633465326
 R2 score: -0.0002382102844775691
diff --git a/doc/LectureNotes/_build/jupyter_execute/week37.ipynb b/doc/LectureNotes/_build/jupyter_execute/week37.ipynb
index 7d14be44a..5586b0735 100644
--- a/doc/LectureNotes/_build/jupyter_execute/week37.ipynb
+++ b/doc/LectureNotes/_build/jupyter_execute/week37.ipynb
@@ -2,27 +2,27 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "9d1d9c58",
+   "id": "9e3d6c33",
    "metadata": {
     "editable": true
    },
    "source": [
     "\n",
-    ""
+    ""
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "c1bdb9de",
+   "id": "6c4bf45e",
    "metadata": {
     "editable": true
    },
    "source": [
-    "# Week 37: Statitsitcal interpretations and Resampling Methods\n",
+    "# Week 37: Statistical interpretations and Resampling Methods\n",
     "**Morten Hjorth-Jensen**, Department of Physics, University of Oslo and Department of Physics and Astronomy and Facility for Rare Isotope Beams, Michigan State University\n",
     "\n",
-    "Date: **Sep 14, 2023**\n",
+    "Date: **Sep 18, 2023**\n",
     "\n",
     "Copyright 1999-2023, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license\n",
     "\n",
@@ -31,7 +31,7 @@
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@@ -576,7 +576,7 @@
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@@ -629,7 +629,7 @@
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@@ -865,7 +865,7 @@
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@@ -1109,7 +1109,7 @@
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@@ -1359,7 +1359,7 @@
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@@ -1413,7 +1413,7 @@
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@@ -1430,7 +1430,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "aa3988c6",
+   "id": "dc071fc4",
    "metadata": {
     "editable": true
    },
@@ -1450,7 +1450,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9868a98b",
+   "id": "ef1325b9",
    "metadata": {
     "editable": true
    },
@@ -1479,7 +1479,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5015585e",
+   "id": "340ea11c",
    "metadata": {
     "editable": true
    },
@@ -1504,7 +1504,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "92d9273d",
+   "id": "74bd7468",
    "metadata": {
     "editable": true
    },
@@ -1524,7 +1524,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "cd12bb37",
+   "id": "93013ca8",
    "metadata": {
     "editable": true
    },
@@ -1536,7 +1536,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "cd8fc890",
+   "id": "92fa2b15",
    "metadata": {
     "editable": true
    },
@@ -1546,7 +1546,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "265ab8d1",
+   "id": "1031aebe",
    "metadata": {
     "editable": true
    },
@@ -1561,7 +1561,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "cdcb3e67",
+   "id": "cc495848",
    "metadata": {
     "editable": true
    },
@@ -1574,7 +1574,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "89a036fe",
+   "id": "28b2bcff",
    "metadata": {
     "editable": true
    },
@@ -1587,7 +1587,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "db8fc317",
+   "id": "5d3eb73d",
    "metadata": {
     "editable": true
    },
@@ -1599,7 +1599,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8f878995",
+   "id": "75b47bae",
    "metadata": {
     "editable": true
    },
@@ -1612,7 +1612,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "705c200b",
+   "id": "a99105b0",
    "metadata": {
     "editable": true
    },
@@ -1623,7 +1623,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "594730bc",
+   "id": "da28e9b0",
    "metadata": {
     "editable": true
    },
@@ -1637,7 +1637,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "50cedd29",
+   "id": "5bd0da08",
    "metadata": {
     "editable": true
    },
@@ -1647,7 +1647,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6d7b9a46",
+   "id": "8dcbd91d",
    "metadata": {
     "editable": true
    },
@@ -1661,7 +1661,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ffeff7ca",
+   "id": "3ab26352",
    "metadata": {
     "editable": true
    },
@@ -1674,7 +1674,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "caf853d3",
+   "id": "9e232448",
    "metadata": {
     "editable": true
    },
@@ -1687,7 +1687,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b0237a6a",
+   "id": "15cdad60",
    "metadata": {
     "editable": true
    },
@@ -1697,7 +1697,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4475d0be",
+   "id": "7b857d11",
    "metadata": {
     "editable": true
    },
@@ -1710,7 +1710,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1ba48e74",
+   "id": "a7ba76a4",
    "metadata": {
     "editable": true
    },
@@ -1720,7 +1720,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6561a4db",
+   "id": "27abee5c",
    "metadata": {
     "editable": true
    },
@@ -1733,7 +1733,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a0416060",
+   "id": "450fbae6",
    "metadata": {
     "editable": true
    },
@@ -1745,7 +1745,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5b86aaee",
+   "id": "583a9a42",
    "metadata": {
     "editable": true
    },
@@ -1764,7 +1764,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4620502c",
+   "id": "cdd93e78",
    "metadata": {
     "editable": true
    },
@@ -1777,7 +1777,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "03867622",
+   "id": "dfe218b6",
    "metadata": {
     "editable": true
    },
@@ -1789,7 +1789,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c4908940",
+   "id": "5d3fd1f7",
    "metadata": {
     "editable": true
    },
@@ -1802,7 +1802,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c74f36e7",
+   "id": "3b8a47f4",
    "metadata": {
     "editable": true
    },
@@ -1822,7 +1822,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e497bcf9",
+   "id": "c57ef602",
    "metadata": {
     "editable": true
    },
@@ -1845,7 +1845,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "60541de0",
+   "id": "cdea97fa",
    "metadata": {
     "editable": true
    },
@@ -1860,7 +1860,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "62737ab8",
+   "id": "efc3abe4",
    "metadata": {
     "editable": true
    },
@@ -1872,7 +1872,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "96722498",
+   "id": "1679ffac",
    "metadata": {
     "editable": true
    },
@@ -1892,7 +1892,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c1242f98",
+   "id": "fc2481bb",
    "metadata": {
     "editable": true
    },
@@ -1912,7 +1912,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9d6890f4",
+   "id": "a18c7fde",
    "metadata": {
     "editable": true
    },
@@ -1936,7 +1936,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "eaebe344",
+   "id": "4af5f00a",
    "metadata": {
     "editable": true
    },
@@ -1957,7 +1957,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "17ee9799",
+   "id": "f40537a7",
    "metadata": {
     "editable": true
    },
@@ -1987,7 +1987,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ea87812a",
+   "id": "c6459716",
    "metadata": {
     "editable": true
    },
@@ -2011,7 +2011,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "a21ecc6d",
+   "id": "61ebf590",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -2023,7 +2023,7 @@
      "text": [
       "Bootstrap Statistics :\n",
       "original           bias      std. error\n",
-      " 99.9713   14.943         99.972        0.149583\n"
+      "  99.971  15.2789        99.9715        0.152907\n"
      ]
     }
    ],
@@ -2060,7 +2060,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "79da869e",
+   "id": "2bcfb7ee",
    "metadata": {
     "editable": true
    },
@@ -2070,7 +2070,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ce9b96bc",
+   "id": "bb8e2e4c",
    "metadata": {
     "editable": true
    },
@@ -2081,7 +2081,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "1e35dddb",
+   "id": "4d167410",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -2089,7 +2089,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "
    "
       ]
@@ -2116,7 +2116,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3bdc7fb8",
+   "id": "5b04a99c",
    "metadata": {
     "editable": true
    },
@@ -2134,7 +2134,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8854ebad",
+   "id": "df8b5b83",
    "metadata": {
     "editable": true
    },
@@ -2146,7 +2146,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "677d1f32",
+   "id": "8b1cae6d",
    "metadata": {
     "editable": true
    },
@@ -2163,7 +2163,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4ffc6245",
+   "id": "347294eb",
    "metadata": {
     "editable": true
    },
@@ -2175,7 +2175,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6059ec46",
+   "id": "0536e454",
    "metadata": {
     "editable": true
    },
@@ -2185,7 +2185,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1d29cec4",
+   "id": "4edf3a9e",
    "metadata": {
     "editable": true
    },
@@ -2197,7 +2197,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7ef17636",
+   "id": "95b5e144",
    "metadata": {
     "editable": true
    },
@@ -2214,7 +2214,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "17963e0a",
+   "id": "4ec0202c",
    "metadata": {
     "editable": true
    },
@@ -2226,7 +2226,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "58693061",
+   "id": "3729c884",
    "metadata": {
     "editable": true
    },
@@ -2236,7 +2236,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ed10ae30",
+   "id": "09d292c0",
    "metadata": {
     "editable": true
    },
@@ -2248,7 +2248,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2ca576c8",
+   "id": "9393b969",
    "metadata": {
     "editable": true
    },
@@ -2258,7 +2258,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "de708fa8",
+   "id": "31400952",
    "metadata": {
     "editable": true
    },
@@ -2270,7 +2270,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "45ce65a1",
+   "id": "fab9fd56",
    "metadata": {
     "editable": true
    },
@@ -2280,7 +2280,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ca73b735",
+   "id": "f6bbceee",
    "metadata": {
     "editable": true
    },
@@ -2296,7 +2296,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a460cbc4",
+   "id": "2486e572",
    "metadata": {
     "editable": true
    },
@@ -2307,7 +2307,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "520c4af0",
+   "id": "af100ade",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -2397,7 +2397,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e3e8854d",
+   "id": "e4b4ea82",
    "metadata": {
     "editable": true
    },
@@ -2408,7 +2408,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "642a16bf",
+   "id": "13bb228b",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -2442,18 +2442,18 @@
       "Error: 0.06844519414009445\n",
       "Bias^2: 0.06453579006728322\n",
       "Var: 0.003909404072811221\n",
-      "0.06844519414009445 >= 0.06453579006728322 + 0.003909404072811221 = 0.06844519414009444\n"
+      "0.06844519414009445 >= 0.06453579006728322 + 0.003909404072811221 = 0.06844519414009444\n",
+      "Polynomial degree: 5\n",
+      "Error: 0.05227921801205679\n",
+      "Bias^2: 0.04818727730430286\n",
+      "Var: 0.004091940707753925\n",
+      "0.05227921801205679 >= 0.04818727730430286 + 0.004091940707753925 = 0.05227921801205679\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Polynomial degree: 5\n",
-      "Error: 0.05227921801205679\n",
-      "Bias^2: 0.04818727730430286\n",
-      "Var: 0.004091940707753925\n",
-      "0.05227921801205679 >= 0.04818727730430286 + 0.004091940707753925 = 0.05227921801205679\n",
       "Polynomial degree: 6\n",
       "Error: 0.03781367141738902\n",
       "Bias^2: 0.03365768507152769\n",
@@ -2473,18 +2473,18 @@
       "Error: 0.026605727637184558\n",
       "Bias^2: 0.010018312644139219\n",
       "Var: 0.016587414993045335\n",
-      "0.026605727637184558 >= 0.010018312644139219 + 0.016587414993045335 = 0.026605727637184554\n",
-      "Polynomial degree: 10\n",
-      "Error: 0.021592704588021178\n",
-      "Bias^2: 0.010516485576646504\n",
-      "Var: 0.01107621901137467\n",
-      "0.021592704588021178 >= 0.010516485576646504 + 0.01107621901137467 = 0.021592704588021174\n"
+      "0.026605727637184558 >= 0.010018312644139219 + 0.016587414993045335 = 0.026605727637184554\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "Polynomial degree: 10\n",
+      "Error: 0.021592704588021178\n",
+      "Bias^2: 0.010516485576646504\n",
+      "Var: 0.01107621901137467\n",
+      "0.021592704588021178 >= 0.010516485576646504 + 0.01107621901137467 = 0.021592704588021174\n",
       "Polynomial degree: 11\n",
       "Error: 0.07160048164232538\n",
       "Bias^2: 0.014436800088896381\n",
@@ -2568,7 +2568,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "143e1777",
+   "id": "c50c02c2",
    "metadata": {
     "editable": true
    },
@@ -2606,7 +2606,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0ddb1890",
+   "id": "16a69276",
    "metadata": {
     "editable": true
    },
@@ -2617,7 +2617,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "74c7f5dc",
+   "id": "06c4dbd1",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -2741,7 +2741,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8f89de90",
+   "id": "dd22f4e5",
    "metadata": {
     "editable": true
    },
@@ -2766,7 +2766,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9465a17d",
+   "id": "1d78f931",
    "metadata": {
     "editable": true
    },
@@ -2794,7 +2794,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d0e4b197",
+   "id": "a3e7ddb7",
    "metadata": {
     "editable": true
    },
@@ -2807,7 +2807,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "8a0b7b89",
+   "id": "d7f6476c",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -2922,7 +2922,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a41beafb",
+   "id": "29f97a19",
    "metadata": {
     "editable": true
    },
@@ -2933,7 +2933,7 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "e3038a58",
+   "id": "ea778a04",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -3014,16 +3014,16 @@
       "Mean squared error on test data: 238.16356503\n",
       "Degree of polynomial:  20\n",
       "Mean squared error on training data: 0.00140849\n",
-      "Mean squared error on test data: 1345.68592431\n"
+      "Mean squared error on test data: 1345.68592431\n",
+      "Degree of polynomial:  21\n",
+      "Mean squared error on training data: 0.00119699\n",
+      "Mean squared error on test data: 1836.21110005\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Degree of polynomial:  21\n",
-      "Mean squared error on training data: 0.00119699\n",
-      "Mean squared error on test data: 1836.21110005\n",
       "Degree of polynomial:  22\n",
       "Mean squared error on training data: 0.00092904\n",
       "Mean squared error on test data: 1182.64316482\n",
@@ -3038,16 +3038,16 @@
       "Mean squared error on test data: 7697.35412147\n",
       "Degree of polynomial:  26\n",
       "Mean squared error on training data: 0.00075597\n",
-      "Mean squared error on test data: 1078.81597834\n"
+      "Mean squared error on test data: 1078.81597834\n",
+      "Degree of polynomial:  27\n",
+      "Mean squared error on training data: 0.00068088\n",
+      "Mean squared error on test data: 3189.20355156\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Degree of polynomial:  27\n",
-      "Mean squared error on training data: 0.00068088\n",
-      "Mean squared error on test data: 3189.20355156\n",
       "Degree of polynomial:  28\n",
       "Mean squared error on training data: 0.00063364\n",
       "Mean squared error on test data: 692.24085321\n",
@@ -3060,9 +3060,9 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_31560/626635268.py:73: RuntimeWarning: divide by zero encountered in log10\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_10727/626635268.py:73: RuntimeWarning: divide by zero encountered in log10\n",
       "  plt.plot(polynomial, np.log10(trainingerror), label='Training Error')\n",
-      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_31560/626635268.py:74: RuntimeWarning: divide by zero encountered in log10\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_10727/626635268.py:74: RuntimeWarning: divide by zero encountered in log10\n",
       "  plt.plot(polynomial, np.log10(testerror), label='Test Error')\n"
      ]
     },
@@ -3164,7 +3164,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "19f4f20f",
+   "id": "f5bc26cd",
    "metadata": {
     "editable": true
    },
@@ -3174,7 +3174,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "98b035c3",
+   "id": "4bbb49da",
    "metadata": {
     "editable": true
    },
@@ -3187,7 +3187,7 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "6ce294be",
+   "id": "89f26923",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -3197,7 +3197,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_31560/3817475779.py:63: RuntimeWarning: divide by zero encountered in log10\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_10727/3817475779.py:63: RuntimeWarning: divide by zero encountered in log10\n",
       "  plt.plot(polynomial, np.log10(estimated_mse_sklearn), label='Test Error')\n"
      ]
     },
@@ -3288,7 +3288,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "63a7497b",
+   "id": "3d39d1c9",
    "metadata": {
     "editable": true
    },
@@ -3315,7 +3315,7 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "938f039a",
+   "id": "2470e6f1",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -3417,7 +3417,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e732961c",
+   "id": "3e229ae7",
    "metadata": {
     "editable": true
    },
@@ -3437,7 +3437,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4c89151d",
+   "id": "2d43d360",
    "metadata": {
     "editable": true
    },
@@ -3449,7 +3449,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "52318e4d",
+   "id": "777c97c9",
    "metadata": {
     "editable": true
    },
@@ -3466,7 +3466,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b8dc7f6d",
+   "id": "f464bb58",
    "metadata": {
     "editable": true
    },
@@ -3478,7 +3478,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0ea24a0d",
+   "id": "624b1d2c",
    "metadata": {
     "editable": true
    },
@@ -3488,7 +3488,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "47719be0",
+   "id": "b872d2db",
    "metadata": {
     "editable": true
    },
@@ -3500,7 +3500,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4be82ca9",
+   "id": "d6dd0d07",
    "metadata": {
     "editable": true
    },
@@ -3510,7 +3510,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "778ad469",
+   "id": "2f7c34ed",
    "metadata": {
     "editable": true
    },
@@ -3522,7 +3522,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c8690ebb",
+   "id": "7e06d400",
    "metadata": {
     "editable": true
    },
@@ -3533,7 +3533,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "19422394",
+   "id": "bad7ab31",
    "metadata": {
     "editable": true
    },
@@ -3545,7 +3545,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "bc1ec19a",
+   "id": "b11fd1d0",
    "metadata": {
     "editable": true
    },
@@ -3555,7 +3555,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "61370bdd",
+   "id": "e18f186d",
    "metadata": {
     "editable": true
    },
@@ -3567,7 +3567,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9ff08be6",
+   "id": "002f906f",
    "metadata": {
     "editable": true
    },
@@ -3577,7 +3577,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9cd5def5",
+   "id": "4b2ce40a",
    "metadata": {
     "editable": true
    },
@@ -3589,7 +3589,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b080c860",
+   "id": "6f6da2aa",
    "metadata": {
     "editable": true
    },
@@ -3599,7 +3599,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "10fc1a84",
+   "id": "f8705ff4",
    "metadata": {
     "editable": true
    },
@@ -3611,7 +3611,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "df6a1ef4",
+   "id": "481c0458",
    "metadata": {
     "editable": true
    },
@@ -3621,7 +3621,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c62e999c",
+   "id": "de837aab",
    "metadata": {
     "editable": true
    },
@@ -3633,7 +3633,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e16831f8",
+   "id": "2c151900",
    "metadata": {
     "editable": true
    },
@@ -3643,7 +3643,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "863e58fa",
+   "id": "6df6dc61",
    "metadata": {
     "editable": true
    },
@@ -3655,7 +3655,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b146fe2b",
+   "id": "6d6150d9",
    "metadata": {
     "editable": true
    },
@@ -3665,7 +3665,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "89ca9b85",
+   "id": "904ad761",
    "metadata": {
     "editable": true
    },
@@ -3677,7 +3677,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "323f217d",
+   "id": "0e427a81",
    "metadata": {
     "editable": true
    },
@@ -3687,7 +3687,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ce63593a",
+   "id": "d40dc5aa",
    "metadata": {
     "editable": true
    },
@@ -3699,7 +3699,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "07c90e67",
+   "id": "259f8a07",
    "metadata": {
     "editable": true
    },
@@ -3711,7 +3711,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "467273e3",
+   "id": "be7a32a4",
    "metadata": {
     "editable": true
    },
@@ -3723,7 +3723,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "eaebf350",
+   "id": "e1723452",
    "metadata": {
     "editable": true
    },
@@ -3733,7 +3733,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "bdb72a09",
+   "id": "a8979b1c",
    "metadata": {
     "editable": true
    },
@@ -3745,7 +3745,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "68e0b318",
+   "id": "7c9b9a4d",
    "metadata": {
     "editable": true
    },
@@ -3758,7 +3758,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9c298056",
+   "id": "6daf72ea",
    "metadata": {
     "editable": true
    },
@@ -3770,7 +3770,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "fa2668d8",
+   "id": "23161172",
    "metadata": {
     "editable": true
    },
@@ -3781,7 +3781,7 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "010ff40f",
+   "id": "9b9f556f",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -3885,7 +3885,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e857615a",
+   "id": "b0a158df",
    "metadata": {
     "editable": true
    },
@@ -3898,7 +3898,7 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "a3ad5ac3",
+   "id": "911c4d30",
    "metadata": {
     "collapsed": false,
     "editable": true
diff --git a/doc/LectureNotes/_build/jupyter_execute/week37.py b/doc/LectureNotes/_build/jupyter_execute/week37.py
index 9a66610fb..a07c1fe4a 100644
--- a/doc/LectureNotes/_build/jupyter_execute/week37.py
+++ b/doc/LectureNotes/_build/jupyter_execute/week37.py
@@ -3,12 +3,12 @@
 
 # 
-# 
+# 
 
-# # Week 37: Statitsitcal interpretations and Resampling Methods
+# # Week 37: Statistical interpretations and Resampling Methods
 # **Morten Hjorth-Jensen**, Department of Physics, University of Oslo and Department of Physics and Astronomy and Facility for Rare Isotope Beams, Michigan State University
 # 
-# Date: **Sep 14, 2023**
+# Date: **Sep 18, 2023**
 # 
 # Copyright 1999-2023, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license
 # 
diff --git a/doc/LectureNotes/_build/jupyter_execute/week37_144_0.png b/doc/LectureNotes/_build/jupyter_execute/week37_144_0.png
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-    ""
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    ]
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    "source": [
-    "# Data Analysis and Machine Learning: Logistic Regression and Optimization\n",
+    "# Week38: Logistic Regression and Optimization\n",
     "**Morten Hjorth-Jensen**, Department of Physics and Center for Computing in Science Education, University of Oslo and Department of Physics and Astronomy and Facility for Rare Isotope Beams, Michigan State University\n",
     "\n",
     "Date: **September 18-22**"
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@@ -1227,7 +1227,7 @@
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@@ -1239,7 +1239,7 @@
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@@ -1251,7 +1251,7 @@
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@@ -1263,7 +1263,7 @@
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@@ -1273,7 +1273,7 @@
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@@ -1285,7 +1285,7 @@
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      "text": [
       "RandomizedSearchCV(estimator=Ridge(), n_iter=100,\n",
-      "                   param_distributions={'alpha': })\n",
+      "                   param_distributions={'alpha': })\n",
       "Best estimated lambda-value: 0.9849967686928113\n",
       "MSE score: 1.0853136633465326\n",
       "R2 score: -0.0002382102844775691\n"
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     "editable": true
@@ -1800,7 +1800,7 @@
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   {
    "cell_type": "markdown",
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+   "id": "8e1508d4",
    "metadata": {
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@@ -1814,7 +1814,7 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "a514f0db",
+   "id": "b8aa57d8",
    "metadata": {
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     "editable": true
@@ -1888,7 +1888,7 @@
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   {
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-   "id": "4ce33137",
+   "id": "a1d7e4bd",
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@@ -1913,7 +1913,7 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "16ee3de4",
+   "id": "3e331b35",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -1925,7 +1925,7 @@
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   {
    "cell_type": "markdown",
-   "id": "8b599328",
+   "id": "db930713",
    "metadata": {
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@@ -1936,7 +1936,7 @@
   {
    "cell_type": "code",
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-   "id": "23095afc",
+   "id": "02dae1a8",
    "metadata": {
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     "editable": true
@@ -1948,7 +1948,7 @@
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   {
    "cell_type": "markdown",
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+   "id": "318e74f5",
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@@ -1961,7 +1961,7 @@
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   {
    "cell_type": "markdown",
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+   "id": "149109ff",
    "metadata": {
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@@ -1972,7 +1972,7 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "43e3eaf5",
+   "id": "70658003",
    "metadata": {
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     "editable": true
@@ -2163,7 +2163,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3aaa0d22",
+   "id": "cf392404",
    "metadata": {
     "editable": true
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@@ -2184,7 +2184,7 @@
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   {
    "cell_type": "markdown",
-   "id": "507ab04c",
+   "id": "627a82d1",
    "metadata": {
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@@ -2201,7 +2201,7 @@
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   {
    "cell_type": "markdown",
-   "id": "dd3a9890",
+   "id": "53a886d1",
    "metadata": {
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@@ -2216,7 +2216,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9bd7b12b",
+   "id": "9c65f72b",
    "metadata": {
     "editable": true
    },
@@ -2226,7 +2226,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "74264591",
+   "id": "cf3fd12e",
    "metadata": {
     "editable": true
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@@ -2242,7 +2242,7 @@
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   {
    "cell_type": "markdown",
-   "id": "9a112aae",
+   "id": "f780fb85",
    "metadata": {
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@@ -2254,7 +2254,7 @@
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   {
    "cell_type": "markdown",
-   "id": "ecea77fa",
+   "id": "5c093899",
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@@ -2265,7 +2265,7 @@
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   {
    "cell_type": "markdown",
-   "id": "113a6cbf",
+   "id": "af1850c8",
    "metadata": {
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@@ -2277,7 +2277,7 @@
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   {
    "cell_type": "markdown",
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+   "id": "fd478976",
    "metadata": {
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@@ -2287,7 +2287,7 @@
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   {
    "cell_type": "markdown",
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+   "id": "bc78b5ec",
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@@ -2301,7 +2301,7 @@
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   {
    "cell_type": "markdown",
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+   "id": "801cdce2",
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@@ -2313,7 +2313,7 @@
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   {
    "cell_type": "markdown",
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+   "id": "96e31a47",
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@@ -2323,7 +2323,7 @@
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   {
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+   "id": "07ef0b2c",
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@@ -2335,7 +2335,7 @@
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   {
    "cell_type": "markdown",
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+   "id": "50ee0bd0",
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@@ -2347,7 +2347,7 @@
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   {
    "cell_type": "markdown",
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+   "id": "45e6ddc2",
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@@ -2367,7 +2367,7 @@
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   {
    "cell_type": "markdown",
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@@ -2383,7 +2383,7 @@
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   {
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@@ -2399,7 +2399,7 @@
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   {
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@@ -2410,7 +2410,7 @@
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   {
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@@ -2422,7 +2422,7 @@
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   {
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@@ -2432,7 +2432,7 @@
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   {
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@@ -2444,7 +2444,7 @@
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   {
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@@ -2454,7 +2454,7 @@
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   {
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+   "id": "6762bf3a",
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@@ -2466,7 +2466,7 @@
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   {
    "cell_type": "markdown",
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+   "id": "f1fa9dbe",
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@@ -2488,7 +2488,7 @@
   },
   {
    "cell_type": "markdown",
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+   "id": "4ea539dd",
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@@ -2501,7 +2501,7 @@
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   {
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@@ -2514,7 +2514,7 @@
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   {
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@@ -2524,7 +2524,7 @@
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   {
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+   "id": "914b3064",
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@@ -2542,7 +2542,7 @@
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   {
    "cell_type": "markdown",
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+   "id": "6e347a22",
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@@ -2552,7 +2552,7 @@
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   {
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+   "id": "811236e6",
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@@ -2567,7 +2567,7 @@
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   {
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+   "id": "41d436ef",
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@@ -2577,7 +2577,7 @@
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   {
    "cell_type": "markdown",
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+   "id": "aed63914",
    "metadata": {
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@@ -2591,7 +2591,7 @@
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   {
    "cell_type": "markdown",
-   "id": "46739492",
+   "id": "d76da720",
    "metadata": {
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@@ -2601,7 +2601,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "167b3c36",
+   "id": "3bf89cee",
    "metadata": {
     "editable": true
    },
@@ -2615,7 +2615,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4ac4074b",
+   "id": "b3cb9607",
    "metadata": {
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@@ -2630,7 +2630,7 @@
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   {
    "cell_type": "markdown",
-   "id": "20552503",
+   "id": "f12cccf8",
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@@ -2647,7 +2647,7 @@
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   {
    "cell_type": "markdown",
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+   "id": "a872b818",
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@@ -2659,7 +2659,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5238c2ec",
+   "id": "df8dc1b7",
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@@ -2673,7 +2673,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "22696e96",
+   "id": "47077f1c",
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@@ -2688,7 +2688,7 @@
   },
   {
    "cell_type": "markdown",
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+   "id": "a99e0558",
    "metadata": {
     "editable": true
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@@ -2700,7 +2700,7 @@
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   {
    "cell_type": "markdown",
-   "id": "251f4cd5",
+   "id": "69ca8e78",
    "metadata": {
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@@ -2711,7 +2711,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a9272ac2",
+   "id": "ce013df2",
    "metadata": {
     "editable": true
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@@ -2739,7 +2739,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9def0e00",
+   "id": "712af387",
    "metadata": {
     "editable": true
    },
@@ -2761,7 +2761,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7b5a0e15",
+   "id": "b8a484b6",
    "metadata": {
     "editable": true
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@@ -2783,7 +2783,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6408d297",
+   "id": "af202251",
    "metadata": {
     "editable": true
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@@ -2795,7 +2795,7 @@
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   {
    "cell_type": "markdown",
-   "id": "a6333821",
+   "id": "c7bfe7e2",
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@@ -2832,7 +2832,7 @@
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   {
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+   "id": "71875b49",
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     "editable": true
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@@ -2860,7 +2860,7 @@
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   {
    "cell_type": "markdown",
-   "id": "26af7024",
+   "id": "5cfcecf6",
    "metadata": {
     "editable": true
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@@ -2890,7 +2890,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "77c5a9be",
+   "id": "19b80b94",
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@@ -2914,7 +2914,7 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "84e1390d",
+   "id": "8f73b2a8",
    "metadata": {
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     "editable": true
@@ -2939,7 +2939,7 @@
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   {
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-   "id": "1f6c4b71",
+   "id": "9989b8c3",
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@@ -2950,7 +2950,7 @@
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   {
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-   "id": "e9322364",
+   "id": "852fe5d5",
    "metadata": {
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@@ -2962,7 +2962,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8df2dc30",
+   "id": "091f8620",
    "metadata": {
     "editable": true
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@@ -2972,7 +2972,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4c998424",
+   "id": "0dd232b7",
    "metadata": {
     "editable": true
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@@ -2984,7 +2984,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5cc298b4",
+   "id": "3222d227",
    "metadata": {
     "editable": true
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@@ -2998,7 +2998,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "47b4e1ad",
+   "id": "a59b3f1e",
    "metadata": {
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@@ -3014,7 +3014,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "48b3c64c",
+   "id": "30b95a6d",
    "metadata": {
     "editable": true
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@@ -3024,7 +3024,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "aaf584ba",
+   "id": "11018a2d",
    "metadata": {
     "editable": true
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@@ -3036,7 +3036,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "00653f5c",
+   "id": "c14db566",
    "metadata": {
     "editable": true
    },
@@ -3046,7 +3046,7 @@
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   {
    "cell_type": "markdown",
-   "id": "0fab7442",
+   "id": "7b77152c",
    "metadata": {
     "editable": true
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@@ -3058,7 +3058,7 @@
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   {
    "cell_type": "markdown",
-   "id": "1ecc330c",
+   "id": "6d7e84ae",
    "metadata": {
     "editable": true
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@@ -3072,7 +3072,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "06e352e9",
+   "id": "67b0c185",
    "metadata": {
     "editable": true
    },
@@ -3082,7 +3082,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "069834e9",
+   "id": "049ced67",
    "metadata": {
     "editable": true
    },
@@ -3093,7 +3093,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4917c720",
+   "id": "94228d75",
    "metadata": {
     "editable": true
    },
@@ -3108,7 +3108,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8412ae0e",
+   "id": "3bbb056f",
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     "editable": true
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@@ -3118,7 +3118,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0d5f4b35",
+   "id": "6644d6e8",
    "metadata": {
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@@ -3130,7 +3130,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0706040a",
+   "id": "bcee0d8a",
    "metadata": {
     "editable": true
    },
@@ -3142,7 +3142,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6836bad3",
+   "id": "4ab67fa4",
    "metadata": {
     "editable": true
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@@ -3157,7 +3157,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "bddbe55a",
+   "id": "b42565b3",
    "metadata": {
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@@ -3170,7 +3170,7 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "d04f42f5",
+   "id": "3654008d",
    "metadata": {
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     "editable": true
@@ -3227,7 +3227,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0a690556",
+   "id": "1e30a1cf",
    "metadata": {
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@@ -3238,7 +3238,7 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "id": "0a535f48",
+   "id": "c140f1de",
    "metadata": {
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     "editable": true
@@ -3265,7 +3265,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b2236395",
+   "id": "7f5519e5",
    "metadata": {
     "editable": true
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@@ -3277,7 +3277,7 @@
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   {
    "cell_type": "markdown",
-   "id": "782bb6aa",
+   "id": "b38c88bf",
    "metadata": {
     "editable": true
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@@ -3289,7 +3289,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "33d04698",
+   "id": "077beecb",
    "metadata": {
     "editable": true
    },
@@ -3299,7 +3299,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "fc8f43d5",
+   "id": "a995831b",
    "metadata": {
     "editable": true
    },
@@ -3313,7 +3313,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0e1a40dd",
+   "id": "d2822925",
    "metadata": {
     "editable": true
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@@ -3323,7 +3323,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8940cbda",
+   "id": "d13a3641",
    "metadata": {
     "editable": true
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@@ -3335,7 +3335,7 @@
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   {
    "cell_type": "markdown",
-   "id": "d7cccaa8",
+   "id": "5616c93b",
    "metadata": {
     "editable": true
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@@ -3346,7 +3346,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8780e503",
+   "id": "11a11f4c",
    "metadata": {
     "editable": true
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@@ -3361,7 +3361,7 @@
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   {
    "cell_type": "markdown",
-   "id": "7b6a1cc9",
+   "id": "4fbaf22a",
    "metadata": {
     "editable": true
    },
@@ -3375,7 +3375,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d2c9b020",
+   "id": "8023c1cf",
    "metadata": {
     "editable": true
    },
@@ -3386,7 +3386,7 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "id": "9c954863",
+   "id": "08c00808",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -3447,7 +3447,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f22681ca",
+   "id": "f4019c2a",
    "metadata": {
     "editable": true
    },
@@ -3469,7 +3469,7 @@
   },
   {
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-   "id": "07625cbf",
+   "id": "da1cbe60",
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diff --git a/doc/LectureNotes/_build/jupyter_execute/week38.py b/doc/LectureNotes/_build/jupyter_execute/week38.py
index 5c986eda2..c18fcbd1d 100644
--- a/doc/LectureNotes/_build/jupyter_execute/week38.py
+++ b/doc/LectureNotes/_build/jupyter_execute/week38.py
@@ -3,9 +3,9 @@
 
 # 
-# 
+# 
 
-# # Data Analysis and Machine Learning: Logistic Regression and Optimization
+# # Week38: Logistic Regression and Optimization
 # **Morten Hjorth-Jensen**, Department of Physics and Center for Computing in Science Education, University of Oslo and Department of Physics and Astronomy and Facility for Rare Isotope Beams, Michigan State University
 # 
 # Date: **September 18-22**
  • - Week 37: Statitsitcal interpretations and Resampling Methods + Week 37: Statistical interpretations and Resampling Methods