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a/doc/LectureNotes/_build/html/_images/week47_99_5.png b/doc/LectureNotes/_build/html/_images/week47_99_5.png new file mode 100644 index 000000000..0f507103a Binary files /dev/null and b/doc/LectureNotes/_build/html/_images/week47_99_5.png differ diff --git a/doc/LectureNotes/_build/html/_images/week47_99_6.png b/doc/LectureNotes/_build/html/_images/week47_99_6.png new file mode 100644 index 000000000..737e5bfde Binary files /dev/null and b/doc/LectureNotes/_build/html/_images/week47_99_6.png differ diff --git a/doc/LectureNotes/_build/html/_sources/week47.ipynb b/doc/LectureNotes/_build/html/_sources/week47.ipynb index 737f5833a..06576e777 100644 --- a/doc/LectureNotes/_build/html/_sources/week47.ipynb +++ b/doc/LectureNotes/_build/html/_sources/week47.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "c7f2117b", + "id": "6314bf67", "metadata": { "editable": true }, @@ -14,7 +14,7 @@ }, { "cell_type": "markdown", - "id": "825c2a47", + "id": "c46d28d1", "metadata": { "editable": true }, @@ -27,7 +27,7 @@ }, { "cell_type": "markdown", - "id": "0d008f8e", + "id": "091c41a2", "metadata": { "editable": true }, @@ -50,6 +50,10 @@ "\n", " * These lecture notes\n", "\n", + " * [Video of Lecture](https://youtu.be/SpWXsvn5I9E)\n", + "\n", + " * [Whiteboard notes](https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesNov23.pdf)\n", + "\n", " * [Video on Decision trees](https://www.youtube.com/watch?v=RmajweUFKvM&ab_channel=Simplilearn)\n", "\n", " * [Video on boosting methods by Hastie](https://www.youtube.com/watch?v=wPqtzj5VZus&ab_channel=H2O.ai)\n", @@ -63,7 +67,7 @@ }, { "cell_type": "markdown", - "id": "33656118", + "id": "3f081cea", "metadata": { "editable": true }, @@ -85,7 +89,7 @@ }, { "cell_type": "markdown", - "id": "6cd3f1f3", + "id": "3789d0ad", "metadata": { "editable": true }, @@ -117,7 +121,7 @@ }, { "cell_type": "markdown", - "id": "6a774f1c", + "id": "b6bfb9a8", "metadata": { "editable": true }, @@ -131,7 +135,7 @@ { "cell_type": "code", "execution_count": 1, - "id": "5862ca1b", + "id": "bd257c56", "metadata": { "collapsed": false, "editable": true @@ -140,13 +144,44 @@ "source": [ "%matplotlib inline\n", "\n", - "\n", + "# Common imports\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "from sklearn.model_selection import train_test_split\n", "from sklearn.pipeline import make_pipeline\n", "from sklearn.utils import resample\n", "from sklearn.tree import DecisionTreeRegressor\n", + "import pandas as pd\n", + "from sklearn.tree import DecisionTreeClassifier\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.preprocessing import StandardScaler, OneHotEncoder\n", + "from sklearn.compose import ColumnTransformer\n", + "from IPython.display import Image \n", + "import os\n", + "\n", + "# Where to save the figures and data files\n", + "PROJECT_ROOT_DIR = \"Results\"\n", + "FIGURE_ID = \"Results/FigureFiles\"\n", + "DATA_ID = \"DataFiles/\"\n", + "\n", + "if not os.path.exists(PROJECT_ROOT_DIR):\n", + " os.mkdir(PROJECT_ROOT_DIR)\n", + "\n", + "if not os.path.exists(FIGURE_ID):\n", + " os.makedirs(FIGURE_ID)\n", + "\n", + "if not os.path.exists(DATA_ID):\n", + " os.makedirs(DATA_ID)\n", + "\n", + "def image_path(fig_id):\n", + " return os.path.join(FIGURE_ID, fig_id)\n", + "\n", + "def data_path(dat_id):\n", + " return os.path.join(DATA_ID, dat_id)\n", + "\n", + "def save_fig(fig_id):\n", + " plt.savefig(image_path(fig_id) + \".png\", format='png')\n", + "\n", "\n", "n = 100\n", "n_boostraps = 100\n", @@ -202,7 +237,7 @@ }, { "cell_type": "markdown", - "id": "09a6717c", + "id": "ec697394", "metadata": { "editable": true }, @@ -225,7 +260,7 @@ }, { "cell_type": "markdown", - "id": "43222d10", + "id": "2f8e4054", "metadata": { "editable": true }, @@ -237,7 +272,7 @@ }, { "cell_type": "markdown", - "id": "52a18bb5", + "id": "5476fc65", "metadata": { "editable": true }, @@ -262,7 +297,7 @@ }, { "cell_type": "markdown", - "id": "e54c9923", + "id": "024d17cc", "metadata": { "editable": true }, @@ -288,7 +323,7 @@ }, { "cell_type": "markdown", - "id": "6b7b8f64", + "id": "adbab589", "metadata": { "editable": true }, @@ -299,7 +334,7 @@ { "cell_type": "code", "execution_count": 2, - "id": "a4a2b51c", + "id": "44d47f87", "metadata": { "collapsed": false, "editable": true @@ -371,7 +406,7 @@ }, { "cell_type": "markdown", - "id": "395b3a90", + "id": "2670f5de", "metadata": { "editable": true }, @@ -387,7 +422,7 @@ }, { "cell_type": "markdown", - "id": "c035f0c1", + "id": "622c79ae", "metadata": { "editable": true }, @@ -398,7 +433,7 @@ { "cell_type": "code", "execution_count": 3, - "id": "ab6ad020", + "id": "eceba36c", "metadata": { "collapsed": false, "editable": true @@ -413,7 +448,7 @@ { "cell_type": "code", "execution_count": 4, - "id": "a1472251", + "id": "40d42e1a", "metadata": { "collapsed": false, "editable": true @@ -431,7 +466,7 @@ }, { "cell_type": "markdown", - "id": "51b7ace2", + "id": "bee77377", "metadata": { "editable": true }, @@ -451,7 +486,7 @@ }, { "cell_type": "markdown", - "id": "8d462537", + "id": "4ea2d5e4", "metadata": { "editable": true }, @@ -465,7 +500,7 @@ }, { "cell_type": "markdown", - "id": "9fb8e1b0", + "id": "c69bf1b6", "metadata": { "editable": true }, @@ -477,7 +512,7 @@ }, { "cell_type": "markdown", - "id": "ee0ec6f5", + "id": "d53b6cb2", "metadata": { "editable": true }, @@ -494,7 +529,7 @@ }, { "cell_type": "markdown", - "id": "64e7803c", + "id": "57ee288e", "metadata": { "editable": true }, @@ -506,7 +541,7 @@ }, { "cell_type": "markdown", - "id": "59bfac09", + "id": "d03b9aa0", "metadata": { "editable": true }, @@ -520,7 +555,7 @@ }, { "cell_type": "markdown", - "id": "5761fd12", + "id": "3caace0f", "metadata": { "editable": true }, @@ -532,7 +567,7 @@ }, { "cell_type": "markdown", - "id": "c1da2c4e", + "id": "99c4d861", "metadata": { "editable": true }, @@ -545,7 +580,7 @@ }, { "cell_type": "markdown", - "id": "bbb3a985", + "id": "15e7309c", "metadata": { "editable": true }, @@ -557,7 +592,7 @@ }, { "cell_type": "markdown", - "id": "e16e1ebd", + "id": "78f883b0", "metadata": { "editable": true }, @@ -567,7 +602,7 @@ }, { "cell_type": "markdown", - "id": "c889610b", + "id": "95d67f7e", "metadata": { "editable": true }, @@ -595,7 +630,7 @@ }, { "cell_type": "markdown", - "id": "680b7100", + "id": "571085d4", "metadata": { "editable": true }, @@ -611,7 +646,7 @@ }, { "cell_type": "markdown", - "id": "8b88b5fa", + "id": "6c23e842", "metadata": { "editable": true }, @@ -623,7 +658,7 @@ }, { "cell_type": "markdown", - "id": "e051dd89", + "id": "6a3315ef", "metadata": { "editable": true }, @@ -634,7 +669,7 @@ }, { "cell_type": "markdown", - "id": "aa2afa2a", + "id": "c377e717", "metadata": { "editable": true }, @@ -646,7 +681,7 @@ }, { "cell_type": "markdown", - "id": "79442142", + "id": "0effec3c", "metadata": { "editable": true }, @@ -656,7 +691,7 @@ }, { "cell_type": "markdown", - "id": "c1f861b6", + "id": "5104bdd4", "metadata": { "editable": true }, @@ -668,7 +703,7 @@ }, { "cell_type": "markdown", - "id": "68700eeb", + "id": "07255d2b", "metadata": { "editable": true }, @@ -678,7 +713,7 @@ }, { "cell_type": "markdown", - "id": "a066fdf2", + "id": "e597dcd5", "metadata": { "editable": true }, @@ -690,7 +725,7 @@ }, { "cell_type": "markdown", - "id": "c04c1f95", + "id": "5044ba81", "metadata": { "editable": true }, @@ -700,7 +735,7 @@ }, { "cell_type": "markdown", - "id": "b4ba24cd", + "id": "6ec9b996", "metadata": { "editable": true }, @@ -712,7 +747,7 @@ }, { "cell_type": "markdown", - "id": "abdfe415", + "id": "f6835c6d", "metadata": { "editable": true }, @@ -726,7 +761,7 @@ }, { "cell_type": "markdown", - "id": "8334145a", + "id": "ec4ec69c", "metadata": { "editable": true }, @@ -742,7 +777,7 @@ }, { "cell_type": "markdown", - "id": "bdac0382", + "id": "ee339678", "metadata": { "editable": true }, @@ -754,7 +789,7 @@ }, { "cell_type": "markdown", - "id": "70c5f645", + "id": "e8eaad5d", "metadata": { "editable": true }, @@ -770,7 +805,7 @@ }, { "cell_type": "markdown", - "id": "af30e648", + "id": "b401d599", "metadata": { "editable": true }, @@ -782,7 +817,7 @@ }, { "cell_type": "markdown", - "id": "faaca407", + "id": "a9e7822e", "metadata": { "editable": true }, @@ -792,7 +827,7 @@ }, { "cell_type": "markdown", - "id": "be4bb8da", + "id": "715194ce", "metadata": { "editable": true }, @@ -804,7 +839,7 @@ }, { "cell_type": "markdown", - "id": "8f5a730d", + "id": "195fc1da", "metadata": { "editable": true }, @@ -816,7 +851,7 @@ }, { "cell_type": "markdown", - "id": "0cb9626f", + "id": "9436883a", "metadata": { "editable": true }, @@ -828,7 +863,7 @@ }, { "cell_type": "markdown", - "id": "d203ed00", + "id": "4ebf9f1e", "metadata": { "editable": true }, @@ -839,7 +874,7 @@ }, { "cell_type": "markdown", - "id": "9e03e0b6", + "id": "603422c9", "metadata": { "editable": true }, @@ -851,7 +886,7 @@ }, { "cell_type": "markdown", - "id": "6322719e", + "id": "da3e2e12", "metadata": { "editable": true }, @@ -862,7 +897,7 @@ }, { "cell_type": "markdown", - "id": "3c52ac68", + "id": "851833f0", "metadata": { "editable": true }, @@ -874,7 +909,7 @@ }, { "cell_type": "markdown", - "id": "249fbbf7", + "id": "4bbf5443", "metadata": { "editable": true }, @@ -884,7 +919,7 @@ }, { "cell_type": "markdown", - "id": "3cf45b3c", + "id": "b63b18c5", "metadata": { "editable": true }, @@ -896,7 +931,7 @@ }, { "cell_type": "markdown", - "id": "fef22138", + "id": "f3f75de8", "metadata": { "editable": true }, @@ -908,7 +943,7 @@ }, { "cell_type": "markdown", - "id": "34c17268", + "id": "998b02e8", "metadata": { "editable": true }, @@ -920,7 +955,7 @@ }, { "cell_type": "markdown", - "id": "7eac97b3", + "id": "98b1751b", "metadata": { "editable": true }, @@ -932,7 +967,7 @@ }, { "cell_type": "markdown", - "id": "0bd696e5", + "id": "4b030d99", "metadata": { "editable": true }, @@ -942,7 +977,7 @@ }, { "cell_type": "markdown", - "id": "7673632b", + "id": "e286c8e8", "metadata": { "editable": true }, @@ -954,7 +989,7 @@ }, { "cell_type": "markdown", - "id": "ff0d9e24", + "id": "7328b345", "metadata": { "editable": true }, @@ -964,7 +999,7 @@ }, { "cell_type": "markdown", - "id": "ed5d83aa", + "id": "b10d1b97", "metadata": { "editable": true }, @@ -976,7 +1011,7 @@ }, { "cell_type": "markdown", - "id": "1454f50c", + "id": "6601235f", "metadata": { "editable": true }, @@ -986,7 +1021,7 @@ }, { "cell_type": "markdown", - "id": "97a524e3", + "id": "2d7d9eb9", "metadata": { "editable": true }, @@ -998,7 +1033,7 @@ }, { "cell_type": "markdown", - "id": "ecdc5bbd", + "id": "41a404a6", "metadata": { "editable": true }, @@ -1008,7 +1043,7 @@ }, { "cell_type": "markdown", - "id": "5ce61e31", + "id": "65f30690", "metadata": { "editable": true }, @@ -1020,7 +1055,7 @@ }, { "cell_type": "markdown", - "id": "9e04d191", + "id": "aea33aa2", "metadata": { "editable": true }, @@ -1030,7 +1065,7 @@ }, { "cell_type": "markdown", - "id": "57458b78", + "id": "225e3f3e", "metadata": { "editable": true }, @@ -1042,7 +1077,7 @@ }, { "cell_type": "markdown", - "id": "16c14444", + "id": "eb9cd9ea", "metadata": { "editable": true }, @@ -1062,7 +1097,7 @@ }, { "cell_type": "markdown", - "id": "5c584f28", + "id": "09491585", "metadata": { "editable": true }, @@ -1074,7 +1109,7 @@ }, { "cell_type": "markdown", - "id": "329b9c21", + "id": "60b25717", "metadata": { "editable": true }, @@ -1084,7 +1119,7 @@ }, { "cell_type": "markdown", - "id": "cae42411", + "id": "af1b7fce", "metadata": { "editable": true }, @@ -1100,7 +1135,7 @@ }, { "cell_type": "markdown", - "id": "802b64d0", + "id": "e207bb04", "metadata": { "editable": true }, @@ -1112,7 +1147,7 @@ }, { "cell_type": "markdown", - "id": "94050f9c", + "id": "50ea5302", "metadata": { "editable": true }, @@ -1140,7 +1175,7 @@ }, { "cell_type": "markdown", - "id": "acf95861", + "id": "e6b2e841", "metadata": { "editable": true }, @@ -1153,7 +1188,7 @@ { "cell_type": "code", "execution_count": 5, - "id": "31bc0132", + "id": "f3473567", "metadata": { "collapsed": false, "editable": true @@ -1178,7 +1213,7 @@ }, { "cell_type": "markdown", - "id": "e2da5e1b", + "id": "4bf435d0", "metadata": { "editable": true }, @@ -1196,7 +1231,7 @@ }, { "cell_type": "markdown", - "id": "e679d19b", + "id": "6f9bf84b", "metadata": { "editable": true }, @@ -1209,7 +1244,7 @@ }, { "cell_type": "markdown", - "id": "e69f4628", + "id": "bceb5dce", "metadata": { "editable": true }, @@ -1221,7 +1256,7 @@ }, { "cell_type": "markdown", - "id": "e105afdb", + "id": "b334a5df", "metadata": { "editable": true }, @@ -1231,7 +1266,7 @@ }, { "cell_type": "markdown", - "id": "24c1ebbe", + "id": "df096d69", "metadata": { "editable": true }, @@ -1243,7 +1278,7 @@ }, { "cell_type": "markdown", - "id": "892e43bc", + "id": "f0367c24", "metadata": { "editable": true }, @@ -1253,7 +1288,7 @@ }, { "cell_type": "markdown", - "id": "bf19f614", + "id": "7e83582e", "metadata": { "editable": true }, @@ -1265,7 +1300,7 @@ }, { "cell_type": "markdown", - "id": "48d959c7", + "id": "6b43e044", "metadata": { "editable": true }, @@ -1278,7 +1313,7 @@ }, { "cell_type": "markdown", - "id": "5b84b3d7", + "id": "5e5567eb", "metadata": { "editable": true }, @@ -1290,7 +1325,7 @@ }, { "cell_type": "markdown", - "id": "cef8476b", + "id": "bc4464a3", "metadata": { "editable": true }, @@ -1302,7 +1337,7 @@ }, { "cell_type": "markdown", - "id": "d9e2078f", + "id": "74a990d2", "metadata": { "editable": true }, @@ -1314,7 +1349,7 @@ }, { "cell_type": "markdown", - "id": "ebf14902", + "id": "11ac33af", "metadata": { "editable": true }, @@ -1324,7 +1359,7 @@ }, { "cell_type": "markdown", - "id": "d07aae49", + "id": "31fad8d3", "metadata": { "editable": true }, @@ -1336,7 +1371,7 @@ }, { "cell_type": "markdown", - "id": "217b0ec0", + "id": "664e354f", "metadata": { "editable": true }, @@ -1346,7 +1381,7 @@ }, { "cell_type": "markdown", - "id": "1fe2a335", + "id": "bdcc9bb0", "metadata": { "editable": true }, @@ -1362,7 +1397,7 @@ }, { "cell_type": "markdown", - "id": "fe0dd2af", + "id": "91ea379e", "metadata": { "editable": true }, @@ -1374,7 +1409,7 @@ }, { "cell_type": "markdown", - "id": "c3bd6c7a", + "id": "191fcbc6", "metadata": { "editable": true }, @@ -1395,7 +1430,7 @@ }, { "cell_type": "markdown", - "id": "4e722ee2", + "id": "8257c200", "metadata": { "editable": true }, @@ -1406,7 +1441,7 @@ { "cell_type": "code", "execution_count": 6, - "id": "8bc581d3", + "id": "97cc442d", "metadata": { "collapsed": false, "editable": true @@ -1458,7 +1493,7 @@ }, { "cell_type": "markdown", - "id": "28990d82", + "id": "e29cb10a", "metadata": { "editable": true }, @@ -1469,7 +1504,7 @@ { "cell_type": "code", "execution_count": 7, - "id": "4519bd6e", + "id": "5e71ebb0", "metadata": { "collapsed": false, "editable": true @@ -1520,7 +1555,7 @@ }, { "cell_type": "markdown", - "id": "ad999fab", + "id": "7704ba08", "metadata": { "editable": true }, @@ -1543,7 +1578,7 @@ }, { "cell_type": "markdown", - "id": "ef7ecd18", + "id": "8f314f34", "metadata": { "editable": true }, @@ -1554,7 +1589,7 @@ { "cell_type": "code", "execution_count": 8, - "id": "389441a3", + "id": "c6b184a5", "metadata": { "collapsed": false, "editable": true @@ -1606,7 +1641,7 @@ }, { "cell_type": "markdown", - "id": "ce79e1f1", + "id": "59a68c8d", "metadata": { "editable": true }, @@ -1619,7 +1654,7 @@ { "cell_type": "code", "execution_count": 9, - "id": "c40249c8", + "id": "6a3f228b", "metadata": { "collapsed": false, "editable": true @@ -1682,7 +1717,7 @@ }, { "cell_type": "markdown", - "id": "01e18e67", + "id": "4756e98c", "metadata": { "editable": true }, @@ -1692,7 +1727,7 @@ }, { "cell_type": "markdown", - "id": "e73dc220", + "id": "0d2f09bc", "metadata": { "editable": true }, @@ -1707,7 +1742,7 @@ }, { "cell_type": "markdown", - "id": "1ab2108f", + "id": "bedc75f8", "metadata": { "editable": true }, @@ -1723,7 +1758,7 @@ }, { "cell_type": "markdown", - "id": "39b85b05", + "id": "25385cd0", "metadata": { "editable": true }, @@ -1748,7 +1783,7 @@ }, { "cell_type": "markdown", - "id": "ac07306f", + "id": "97a4cbd9", "metadata": { "editable": true }, @@ -1777,7 +1812,7 @@ }, { "cell_type": "markdown", - "id": "9e2e9695", + "id": "77dada73", "metadata": { "editable": true }, @@ -1793,7 +1828,7 @@ }, { "cell_type": "markdown", - "id": "2e3f154f", + "id": "4f784898", "metadata": { "editable": true }, @@ -1818,7 +1853,7 @@ }, { "cell_type": "markdown", - "id": "ad8a60b4", + "id": "35722378", "metadata": { "editable": true }, @@ -1865,7 +1900,7 @@ }, { "cell_type": "markdown", - "id": "dae8f48e", + "id": "c5de1725", "metadata": { "editable": true }, @@ -1901,7 +1936,7 @@ }, { "cell_type": "markdown", - "id": "2920b24a", + "id": "77f0effd", "metadata": { "editable": true }, @@ -1924,7 +1959,7 @@ }, { "cell_type": "markdown", - "id": "e1432f66", + "id": "1da4f54b", "metadata": { "editable": true }, @@ -1947,7 +1982,7 @@ }, { "cell_type": "markdown", - "id": "7f1038c7", + "id": "960798e1", "metadata": { "editable": true }, @@ -1967,7 +2002,7 @@ }, { "cell_type": "markdown", - "id": "e75110cb", + "id": "3bb0c58d", "metadata": { "editable": true }, @@ -1983,7 +2018,7 @@ }, { "cell_type": "markdown", - "id": "4256ccbd", + "id": "06e070b4", "metadata": { "editable": true }, @@ -2015,7 +2050,7 @@ }, { "cell_type": "markdown", - "id": "b8b7eedb", + "id": "8fc31057", "metadata": { "editable": true }, @@ -2037,7 +2072,7 @@ }, { "cell_type": "markdown", - "id": "b3675dec", + "id": "be1f2461", "metadata": { "editable": true }, @@ -2062,7 +2097,7 @@ }, { "cell_type": "markdown", - "id": "bfab87c4", + "id": "2bf97adf", "metadata": { "editable": true }, @@ -2080,14 +2115,14 @@ }, { "cell_type": "markdown", - "id": "e2c01a1c", + "id": "af4d612c", "metadata": { "editable": true }, "source": [ "## Other courses on Data science and Machine Learning at UiO\n", "\n", - "1. [FYS5429 Advanced Machine Learning and Data Analysis for the Physical Sciences](https://www.uio.no/studier/emner/matnat/fys/FYS5429/index-eng.html)\n", + "1. [FYS5429 Advanced Machine Learning and Data Analysis for the Physical Sciences](https://www.uio.no/studier/emner/matnat/fys/FYS5429/index-eng.html). Discussed deep learning and generative deep learning.\n", "\n", "2. [FYS5419 Quantum Computing and Quantum Machine Learning](https://www.uio.no/studier/emner/matnat/fys/FYS5419/index-eng.html)\n", "\n", @@ -2108,7 +2143,7 @@ }, { "cell_type": "markdown", - "id": "e749da13", + "id": "02ca1e2c", "metadata": { "editable": true }, @@ -2122,7 +2157,7 @@ }, { "cell_type": "markdown", - "id": "92dfd025", + "id": "1bd70651", "metadata": { "editable": true }, @@ -2143,12 +2178,14 @@ "\n", "2. Recurrent neural networks, which can process sequential data of variable length and have been widely used in natural language understanding and speech processing;\n", "\n", - "3. Encoder-decoder framework, which is mostly used for image or sequence generation, such as machine translation, text summarization, and image captioning." + "3. Encoder-decoder framework, which is mostly used for image or sequence generation, such as machine translation, text summarization, and image captioning.\n", + "\n", + "4. **Generative deep learning**! Recent textbook by David Foster (and obviously many other ones) at \"" ] }, { "cell_type": "markdown", - "id": "82fed487", + "id": "ec41c770", "metadata": { "editable": true }, @@ -2177,7 +2214,7 @@ }, { "cell_type": "markdown", - "id": "d1496484", + "id": "eb4b2fd3", "metadata": { "editable": true }, @@ -2194,14 +2231,14 @@ }, { "cell_type": "markdown", - "id": "9fcb0478", + "id": "666fb9a8", "metadata": { "editable": true }, "source": [ "## Boltzmann Machines\n", "\n", - "Why use a generative model rather than the more well known discriminative deep neural networks (DNN)? \n", + "Why use a generative model rather than the more well known discriminative deep neural networks (DNN)? **Simplest approach to generative deep learning**.\n", "\n", "* Discriminitave methods have several limitations: They are mainly supervised learning methods, thus requiring labeled data. And there are tasks they cannot accomplish, like drawing new examples from an unknown probability distribution.\n", "\n", @@ -2216,7 +2253,7 @@ }, { "cell_type": "markdown", - "id": "5eb0d3e2", + "id": "59961309", "metadata": { "editable": true }, @@ -2234,7 +2271,7 @@ }, { "cell_type": "markdown", - "id": "665c0ef9", + "id": "95115be7", "metadata": { "editable": true }, @@ -2257,7 +2294,7 @@ }, { "cell_type": "markdown", - "id": "4403ff05", + "id": "67240cfb", "metadata": { "editable": true }, @@ -2276,7 +2313,7 @@ }, { "cell_type": "markdown", - "id": "cfee8419", + "id": "34238f91", "metadata": { "editable": true }, @@ -2292,7 +2329,7 @@ }, { "cell_type": "markdown", - "id": "04e219f3", + "id": "b5a2f4e8", "metadata": { "editable": true }, @@ -2307,7 +2344,7 @@ }, { "cell_type": "markdown", - "id": "865be2c7", + "id": "8814bf46", "metadata": { "editable": true }, @@ -2331,7 +2368,7 @@ }, { "cell_type": "markdown", - "id": "ad081b40", + "id": "7fc70e53", "metadata": { "editable": true }, @@ -2343,7 +2380,7 @@ }, { "cell_type": "markdown", - "id": "f09b6fa7", + "id": "db48a9df", "metadata": { "editable": true }, @@ -2361,7 +2398,7 @@ }, { "cell_type": "markdown", - "id": "18ae7c01", + "id": "62a31f83", "metadata": { "editable": true }, @@ -2371,7 +2408,7 @@ }, { "cell_type": "markdown", - "id": "a88f7dbd", + "id": "cb335a56", "metadata": { "editable": true }, @@ -2389,7 +2426,7 @@ }, { "cell_type": "markdown", - "id": "f3e9df0a", + "id": "599fa487", "metadata": { "editable": true }, @@ -2399,7 +2436,7 @@ }, { "cell_type": "markdown", - "id": "4fb63226", + "id": "114dd535", "metadata": { "editable": true }, @@ -2418,7 +2455,7 @@ }, { "cell_type": "markdown", - "id": "979d4b88", + "id": "211cb42a", "metadata": { "editable": true }, @@ -2430,7 +2467,7 @@ }, { "cell_type": "markdown", - "id": "657ea136", + "id": "e70c1aa0", "metadata": { "editable": true }, @@ -2444,7 +2481,7 @@ }, { "cell_type": "markdown", - "id": "2f74cfe5", + "id": "8176921d", "metadata": { "editable": true }, @@ -2459,7 +2496,7 @@ }, { "cell_type": "markdown", - "id": "d2ceac17", + "id": "d4559704", "metadata": { "editable": true }, @@ -2477,7 +2514,7 @@ }, { "cell_type": "markdown", - "id": "c10dc2df", + "id": "6087f3b1", "metadata": { "editable": true }, @@ -2491,7 +2528,7 @@ }, { "cell_type": "markdown", - "id": "d0231e81", + "id": "090cbae9", "metadata": { "editable": true }, @@ -2509,7 +2546,7 @@ }, { "cell_type": "markdown", - "id": "93975174", + "id": "19c78c3f", "metadata": { "editable": true }, @@ -2533,7 +2570,7 @@ }, { "cell_type": "markdown", - "id": "f0764260", + "id": "2c32807b", "metadata": { "editable": true }, @@ -2571,7 +2608,7 @@ }, { "cell_type": "markdown", - "id": "f38043a9", + "id": "f988bcd6", "metadata": { "editable": true }, @@ -2594,7 +2631,7 @@ }, { "cell_type": "markdown", - "id": "6011b6cd", + "id": "c75013bd", "metadata": { "editable": true }, @@ -2630,7 +2667,7 @@ }, { "cell_type": "markdown", - "id": "51df0ece", + "id": "f0ba11de", 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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","Exercises week 39","Exercises week 41","Exercises week 42","Exercises weeks 43 and 44","Exercise week 47","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","Project 2 on Machine Learning, deadline November 17 (Midnight)","Project 3 on Machine Learning, deadline December 18 (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","Week 38: Logistic Regression and Optimization","Week 39: Optimization and Gradient Methods","Week 40: Gradient descent methods (continued) and start Neural networks","Week 41 Neural networks and constructing a neural network code","Week 42 Constructing a Neural Network code with introduction to Tensor flow","Week 43: Deep Learning: Constructing a Neural Network code and solving differential equations","Week 44, Convolutional Neural Networks (CNN)","Week 45, Recurrent Neural Networks","Week 46: Decision Trees, Ensemble methods and Random Forests","Week 47: From Decision Trees to Ensemble Methods, Random Forests and Boosting Methods and Summary of 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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","Exercises week 39","Exercises week 41","Exercises week 42","Exercises weeks 43 and 44","Exercise week 47","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","Project 2 on Machine Learning, deadline November 17 (Midnight)","Project 3 on Machine Learning, deadline December 18 (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","Week 38: Logistic Regression and Optimization","Week 39: Optimization and Gradient Methods","Week 40: Gradient descent methods (continued) and start Neural networks","Week 41 Neural networks and constructing a neural network code","Week 42 Constructing a Neural Network code with introduction to Tensor flow","Week 43: Deep Learning: Constructing a Neural Network code and solving differential equations","Week 44, Convolutional Neural Networks (CNN)","Week 45, Recurrent Neural Networks","Week 46: Decision Trees, Ensemble methods and Random Forests","Week 47: From Decision Trees to Ensemble Methods, Random Forests and Boosting Methods and Summary of 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\ No newline at end of file diff --git a/doc/LectureNotes/_build/html/week47.html b/doc/LectureNotes/_build/html/week47.html index 07f442992..ba263861b 100644 --- a/doc/LectureNotes/_build/html/week47.html +++ b/doc/LectureNotes/_build/html/week47.html @@ -55,7 +55,7 @@ const thebe_selector_output = ".output, .cell_output" - + @@ -363,6 +363,11 @@ const thebe_selector_output = ".output, .cell_output" Week 47: From Decision Trees to Ensemble Methods, Random Forests and Boosting Methods and Summary of Course +
  • + + Exercise week 47 + +

    • @@ -380,11 +385,6 @@ const thebe_selector_output = ".output, .cell_output" Project 2 on Machine Learning, deadline November 17 (Midnight) -

  • - - Project 3 on Machine Learning, deadline December 18 (midnight), 2023 - -
    • @@ -1294,6 +1294,8 @@ doconce format html week47.do.txt --no_mako -->

  • Readings and Videos: