diff --git a/doc/pub/week35/html/._week35-bs000.html b/doc/pub/week35/html/._week35-bs000.html
index 1d8b1baef..e9a353109 100644
--- a/doc/pub/week35/html/._week35-bs000.html
+++ b/doc/pub/week35/html/._week35-bs000.html
@@ -400,7 +400,7 @@ MathJax.Hub.Config({
-Jul 5, 2023
+Jul 8, 2023
diff --git a/doc/pub/week35/html/._week35-bs001.html b/doc/pub/week35/html/._week35-bs001.html
index 6fa4b56fc..fb87a3a81 100644
--- a/doc/pub/week35/html/._week35-bs001.html
+++ b/doc/pub/week35/html/._week35-bs001.html
@@ -385,14 +385,16 @@ MathJax.Hub.Config({
Plans for week 35
The main topics are:
+
-- Repetition from last week on linear regression
-- Reminder on statistics with quantities like mean values, variance abd covariance
-- Discussion of how to prepare data and examples of applications of linear regression
-- Mathematical interpretations of Linear Regression
-- Start discussing Ridge and Lasso regression and Singular Value Decomposition
+- Brief repetition from last week
+- Reminder on statistics with quantities like mean values, variance and covariance
+- Discussion on how to prepare data and examples of applications of linear regression
+- Mathematical interpretations of linear regression
+- Ridge and Lasso regression and Singular Value Decomposition
Reading recommendations:
+
- See lecture notes for week 35 at https://compphysics.github.io/MachineLearning/doc/web/course.html
- For a review on statistics see jupyter-book https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/statistics.html, the most relevant parts are covered by sections 1.1.1-1.1.5
diff --git a/doc/pub/week35/html/week35-bs.html b/doc/pub/week35/html/week35-bs.html
index 1d8b1baef..e9a353109 100644
--- a/doc/pub/week35/html/week35-bs.html
+++ b/doc/pub/week35/html/week35-bs.html
@@ -400,7 +400,7 @@ MathJax.Hub.Config({
-Jul 5, 2023
+Jul 8, 2023
diff --git a/doc/pub/week35/html/week35-reveal.html b/doc/pub/week35/html/week35-reveal.html
index 616f18026..7a9d88718 100644
--- a/doc/pub/week35/html/week35-reveal.html
+++ b/doc/pub/week35/html/week35-reveal.html
@@ -184,7 +184,7 @@ MathJax.Hub.Config({
-Jul 5, 2023
+Jul 8, 2023
@@ -198,15 +198,17 @@ MathJax.Hub.Config({
Plans for week 35
The main topics are:
+
-- Repetition from last week on linear regression
-- Reminder on statistics with quantities like mean values, variance abd covariance
-- Discussion of how to prepare data and examples of applications of linear regression
-- Mathematical interpretations of Linear Regression
-- Start discussing Ridge and Lasso regression and Singular Value Decomposition
+- Brief repetition from last week
+- Reminder on statistics with quantities like mean values, variance and covariance
+- Discussion on how to prepare data and examples of applications of linear regression
+- Mathematical interpretations of linear regression
+- Ridge and Lasso regression and Singular Value Decomposition
Reading recommendations:
+
- See lecture notes for week 35 at https://compphysics.github.io/MachineLearning/doc/web/course.html
- For a review on statistics see jupyter-book https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/statistics.html, the most relevant parts are covered by sections 1.1.1-1.1.5
diff --git a/doc/pub/week35/html/week35-solarized.html b/doc/pub/week35/html/week35-solarized.html
index 855a43037..9b856febf 100644
--- a/doc/pub/week35/html/week35-solarized.html
+++ b/doc/pub/week35/html/week35-solarized.html
@@ -328,7 +328,7 @@ MathJax.Hub.Config({
-Jul 5, 2023
+Jul 8, 2023
@@ -336,14 +336,16 @@ MathJax.Hub.Config({
Plans for week 35
The main topics are:
+
-- Repetition from last week on linear regression
-- Reminder on statistics with quantities like mean values, variance abd covariance
-- Discussion of how to prepare data and examples of applications of linear regression
-- Mathematical interpretations of Linear Regression
-- Start discussing Ridge and Lasso regression and Singular Value Decomposition
+- Brief repetition from last week
+- Reminder on statistics with quantities like mean values, variance and covariance
+- Discussion on how to prepare data and examples of applications of linear regression
+- Mathematical interpretations of linear regression
+- Ridge and Lasso regression and Singular Value Decomposition
Reading recommendations:
+
- See lecture notes for week 35 at https://compphysics.github.io/MachineLearning/doc/web/course.html
- For a review on statistics see jupyter-book https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/statistics.html, the most relevant parts are covered by sections 1.1.1-1.1.5
diff --git a/doc/pub/week35/html/week35.html b/doc/pub/week35/html/week35.html
index 0c426287d..df14b77b4 100644
--- a/doc/pub/week35/html/week35.html
+++ b/doc/pub/week35/html/week35.html
@@ -405,7 +405,7 @@ MathJax.Hub.Config({
-Jul 5, 2023
+Jul 8, 2023
@@ -413,14 +413,16 @@ MathJax.Hub.Config({
Plans for week 35
The main topics are:
+
-- Repetition from last week on linear regression
-- Reminder on statistics with quantities like mean values, variance abd covariance
-- Discussion of how to prepare data and examples of applications of linear regression
-- Mathematical interpretations of Linear Regression
-- Start discussing Ridge and Lasso regression and Singular Value Decomposition
+- Brief repetition from last week
+- Reminder on statistics with quantities like mean values, variance and covariance
+- Discussion on how to prepare data and examples of applications of linear regression
+- Mathematical interpretations of linear regression
+- Ridge and Lasso regression and Singular Value Decomposition
Reading recommendations:
+
- See lecture notes for week 35 at https://compphysics.github.io/MachineLearning/doc/web/course.html
- For a review on statistics see jupyter-book https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/statistics.html, the most relevant parts are covered by sections 1.1.1-1.1.5
diff --git a/doc/pub/week35/ipynb/ipynb-week35-src.tar.gz b/doc/pub/week35/ipynb/ipynb-week35-src.tar.gz
index 8b7787352..865f6d9ce 100644
Binary files a/doc/pub/week35/ipynb/ipynb-week35-src.tar.gz and b/doc/pub/week35/ipynb/ipynb-week35-src.tar.gz differ
diff --git a/doc/pub/week35/ipynb/week35.ipynb b/doc/pub/week35/ipynb/week35.ipynb
index ad26ffa80..a89f4111c 100644
--- a/doc/pub/week35/ipynb/week35.ipynb
+++ b/doc/pub/week35/ipynb/week35.ipynb
@@ -2,7 +2,7 @@
"cells": [
{
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- "id": "7b57ad6c",
+ "id": "75ce285d",
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@@ -14,7 +14,7 @@
},
{
"cell_type": "markdown",
- "id": "07ee3add",
+ "id": "6819a447",
"metadata": {
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},
@@ -22,14 +22,14 @@
"# Week 35: From Ordinary Linear Regression to Ridge and Lasso Regression\n",
"**Morten Hjorth-Jensen**, Department of Physics, University of Oslo and Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University\n",
"\n",
- "Date: **Jul 5, 2023**\n",
+ "Date: **Jul 8, 2023**\n",
"\n",
"Copyright 1999-2023, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license"
]
},
{
"cell_type": "markdown",
- "id": "139693a5",
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@@ -37,20 +37,21 @@
"## Plans for week 35\n",
"\n",
"The main topics are:\n",
- "1. Repetition from last week on linear regression\n",
"\n",
- "2. Reminder on statistics with quantities like mean values, variance abd covariance\n",
+ "1. Brief repetition from last week\n",
"\n",
- "3. Discussion of how to prepare data and examples of applications of linear regression\n",
+ "2. Reminder on statistics with quantities like mean values, variance and covariance\n",
"\n",
- "4. Mathematical interpretations of Linear Regression\n",
+ "3. Discussion on how to prepare data and examples of applications of linear regression\n",
"\n",
- "5. Start discussing Ridge and Lasso regression and Singular Value Decomposition"
+ "4. Mathematical interpretations of linear regression\n",
+ "\n",
+ "5. Ridge and Lasso regression and Singular Value Decomposition"
]
},
{
"cell_type": "markdown",
- "id": "e729ca93",
+ "id": "d1e32977",
"metadata": {
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@@ -70,7 +71,7 @@
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@@ -104,7 +105,7 @@
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@@ -126,7 +127,7 @@
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+ "id": "9e3a36c6",
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@@ -154,7 +155,7 @@
},
{
"cell_type": "markdown",
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@@ -169,7 +170,7 @@
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{
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@@ -181,7 +182,7 @@
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{
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+ "id": "6714b875",
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@@ -196,7 +197,7 @@
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{
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+ "id": "339987f7",
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@@ -209,7 +210,7 @@
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{
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+ "id": "f847039c",
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@@ -221,7 +222,7 @@
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{
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@@ -231,7 +232,7 @@
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{
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@@ -242,7 +243,7 @@
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{
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@@ -260,7 +261,7 @@
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@@ -271,7 +272,7 @@
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{
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+ "id": "9db1559d",
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@@ -283,7 +284,7 @@
},
{
"cell_type": "markdown",
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+ "id": "a005c600",
"metadata": {
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@@ -293,7 +294,7 @@
},
{
"cell_type": "markdown",
- "id": "3808207e",
+ "id": "b29a7b70",
"metadata": {
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@@ -305,7 +306,7 @@
},
{
"cell_type": "markdown",
- "id": "5faec99f",
+ "id": "a93aea90",
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@@ -315,7 +316,7 @@
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{
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@@ -327,7 +328,7 @@
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{
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@@ -337,7 +338,7 @@
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{
"cell_type": "markdown",
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@@ -356,7 +357,7 @@
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{
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@@ -366,7 +367,7 @@
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{
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@@ -378,7 +379,7 @@
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{
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@@ -388,7 +389,7 @@
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{
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@@ -404,7 +405,7 @@
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{
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@@ -424,7 +425,7 @@
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@@ -434,7 +435,7 @@
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{
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+ "id": "ca0d5be2",
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@@ -445,7 +446,7 @@
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{
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@@ -464,7 +465,7 @@
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@@ -474,7 +475,7 @@
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@@ -486,7 +487,7 @@
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{
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@@ -527,7 +528,7 @@
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@@ -554,7 +555,7 @@
{
"cell_type": "code",
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@@ -636,7 +637,7 @@
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@@ -646,7 +647,7 @@
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{
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+ "id": "1424b894",
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@@ -658,7 +659,7 @@
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{
"cell_type": "markdown",
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@@ -668,7 +669,7 @@
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@@ -679,7 +680,7 @@
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@@ -691,7 +692,7 @@
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@@ -701,7 +702,7 @@
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{
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@@ -713,7 +714,7 @@
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@@ -723,7 +724,7 @@
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@@ -735,7 +736,7 @@
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@@ -760,7 +761,7 @@
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@@ -770,7 +771,7 @@
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@@ -782,7 +783,7 @@
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@@ -836,7 +837,7 @@
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@@ -849,7 +850,7 @@
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@@ -1064,7 +1065,7 @@
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@@ -1955,7 +1956,7 @@
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@@ -1975,7 +1976,7 @@
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@@ -2015,7 +2016,7 @@
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@@ -2125,7 +2126,7 @@
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@@ -2471,7 +2472,7 @@
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@@ -2895,7 +2896,7 @@
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@@ -4483,7 +4484,7 @@
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@@ -4532,7 +4533,7 @@
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@@ -4566,7 +4567,7 @@
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@@ -4588,7 +4589,7 @@
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@@ -4639,7 +4640,7 @@
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@@ -4664,7 +4665,7 @@
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@@ -4687,7 +4688,7 @@
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@@ -4722,7 +4723,7 @@
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@@ -4747,7 +4748,7 @@
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@@ -4769,7 +4770,7 @@
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@@ -4806,7 +4807,7 @@
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@@ -4830,7 +4831,7 @@
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@@ -4844,7 +4845,7 @@
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@@ -4856,7 +4857,7 @@
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@@ -4866,7 +4867,7 @@
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@@ -4878,7 +4879,7 @@
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@@ -4890,7 +4891,7 @@
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@@ -4902,7 +4903,7 @@
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@@ -4914,7 +4915,7 @@
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{
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@@ -4926,7 +4927,7 @@
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@@ -4945,7 +4946,7 @@
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{
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@@ -4957,7 +4958,7 @@
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@@ -4967,7 +4968,7 @@
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@@ -4979,7 +4980,7 @@
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@@ -4989,7 +4990,7 @@
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@@ -5001,7 +5002,7 @@
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@@ -5013,7 +5014,7 @@
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@@ -5029,7 +5030,7 @@
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{
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@@ -5041,7 +5042,7 @@
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@@ -5053,7 +5054,7 @@
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@@ -5063,7 +5064,7 @@
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@@ -5075,7 +5076,7 @@
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@@ -5085,7 +5086,7 @@
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@@ -5097,7 +5098,7 @@
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@@ -5114,7 +5115,7 @@
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{
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+ "id": "02479371",
"metadata": {
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@@ -5126,7 +5127,7 @@
},
{
"cell_type": "markdown",
- "id": "221146bb",
+ "id": "ef3332c7",
"metadata": {
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@@ -5138,7 +5139,7 @@
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{
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+ "id": "e246907e",
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@@ -5148,7 +5149,7 @@
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{
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+ "id": "0f62d890",
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@@ -5160,7 +5161,7 @@
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{
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+ "id": "7bc218bf",
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@@ -5170,7 +5171,7 @@
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{
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+ "id": "7a30ea44",
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@@ -5182,7 +5183,7 @@
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{
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@@ -5192,7 +5193,7 @@
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{
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- "id": "79edfc40",
+ "id": "c72ab31d",
"metadata": {
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@@ -5204,7 +5205,7 @@
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{
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+ "id": "c43f2887",
"metadata": {
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@@ -5214,7 +5215,7 @@
},
{
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+ "id": "96f0205f",
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@@ -5226,7 +5227,7 @@
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{
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+ "id": "6c7c2b42",
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@@ -5295,7 +5296,7 @@
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{
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- "id": "861cc690",
+ "id": "cc7944cc",
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@@ -5309,7 +5310,7 @@
{
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- "id": "36d583bb",
+ "id": "b5d985c5",
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@@ -5322,7 +5323,7 @@
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@@ -5336,7 +5337,7 @@
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{
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+ "id": "7568ca05",
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@@ -5349,7 +5350,7 @@
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{
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- "id": "bc103f90",
+ "id": "1283b5aa",
"metadata": {
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@@ -5360,7 +5361,7 @@
},
{
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+ "id": "08084f21",
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@@ -5372,7 +5373,7 @@
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{
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- "id": "db0af726",
+ "id": "57e59a3b",
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@@ -5382,7 +5383,7 @@
},
{
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+ "id": "6ea0d1ec",
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@@ -5394,7 +5395,7 @@
},
{
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- "id": "217bba68",
+ "id": "5f930aaf",
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@@ -5410,7 +5411,7 @@
{
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- "id": "9db08d7c",
+ "id": "e3463102",
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@@ -5461,7 +5462,7 @@
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- "id": "b8138b07",
+ "id": "b6b299ef",
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@@ -5471,7 +5472,7 @@
},
{
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- "id": "a95a9e55",
+ "id": "2b91f33f",
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@@ -5517,7 +5518,7 @@
{
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- "id": "c0b27a62",
+ "id": "dd8df18f",
"metadata": {
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"editable": true
@@ -5530,7 +5531,7 @@
},
{
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- "id": "e69d081c",
+ "id": "0c8e7d36",
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@@ -5541,7 +5542,7 @@
{
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- "id": "1e21f3bc",
+ "id": "67122ec3",
"metadata": {
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"editable": true
@@ -5556,7 +5557,7 @@
},
{
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- "id": "7c290025",
+ "id": "64380e4c",
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},
@@ -5574,7 +5575,7 @@
{
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- "id": "c83dad3a",
+ "id": "74b66c47",
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@@ -5591,7 +5592,7 @@
},
{
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- "id": "60dce5d0",
+ "id": "7f9c1d69",
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@@ -5601,7 +5602,7 @@
},
{
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- "id": "1958f713",
+ "id": "419e926c",
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@@ -5612,7 +5613,7 @@
},
{
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- "id": "9b4a3732",
+ "id": "11577b0a",
"metadata": {
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@@ -5623,7 +5624,7 @@
},
{
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- "id": "1de0cd14",
+ "id": "d9a8c4be",
"metadata": {
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@@ -5634,7 +5635,7 @@
},
{
"cell_type": "markdown",
- "id": "346c7eb2",
+ "id": "8a926f34",
"metadata": {
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@@ -5657,7 +5658,7 @@
{
"cell_type": "code",
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- "id": "763a9d9c",
+ "id": "409f0f47",
"metadata": {
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"editable": true
@@ -5670,7 +5671,7 @@
},
{
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- "id": "0ffd69b3",
+ "id": "7df5b6b3",
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@@ -5685,7 +5686,7 @@
{
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- "id": "e02ee496",
+ "id": "1f2230c3",
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@@ -5765,7 +5766,7 @@
},
{
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- "id": "1edbeb58",
+ "id": "747d5fad",
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@@ -5780,7 +5781,7 @@
},
{
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- "id": "c2231042",
+ "id": "b345ce8a",
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@@ -5793,7 +5794,7 @@
},
{
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+ "id": "6a2618a4",
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@@ -5804,7 +5805,7 @@
},
{
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- "id": "a963aecb",
+ "id": "85b98e88",
"metadata": {
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@@ -5816,7 +5817,7 @@
},
{
"cell_type": "markdown",
- "id": "223eb14a",
+ "id": "55095fad",
"metadata": {
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@@ -5826,7 +5827,7 @@
},
{
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- "id": "ffb9694e",
+ "id": "79f10e17",
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@@ -5838,7 +5839,7 @@
},
{
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- "id": "39c68ba3",
+ "id": "3f5473a9",
"metadata": {
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@@ -5848,7 +5849,7 @@
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{
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+ "id": "a8592054",
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@@ -5870,7 +5871,7 @@
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{
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- "id": "93dd6e83",
+ "id": "1b01d487",
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@@ -5882,7 +5883,7 @@
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{
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+ "id": "db2b2d2e",
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@@ -5892,7 +5893,7 @@
},
{
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+ "id": "82e46c7e",
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@@ -5904,7 +5905,7 @@
},
{
"cell_type": "markdown",
- "id": "648749ff",
+ "id": "d2ffccbd",
"metadata": {
"editable": true
},
@@ -5914,7 +5915,7 @@
},
{
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- "id": "ad0c48b4",
+ "id": "ac17eb1f",
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@@ -5926,7 +5927,7 @@
},
{
"cell_type": "markdown",
- "id": "3e437dfe",
+ "id": "28b9b54f",
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@@ -5939,7 +5940,7 @@
},
{
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+ "id": "23edea6d",
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@@ -5951,7 +5952,7 @@
},
{
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+ "id": "5391b04f",
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@@ -5961,7 +5962,7 @@
},
{
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+ "id": "e7c1f6ed",
"metadata": {
"editable": true
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@@ -5973,7 +5974,7 @@
},
{
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- "id": "38ee9b1c",
+ "id": "8acf268e",
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@@ -5983,7 +5984,7 @@
},
{
"cell_type": "markdown",
- "id": "b4fe0bcd",
+ "id": "6e1d47cd",
"metadata": {
"editable": true
},
@@ -5995,7 +5996,7 @@
},
{
"cell_type": "markdown",
- "id": "79fe6d2e",
+ "id": "5abbb76e",
"metadata": {
"editable": true
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@@ -6005,7 +6006,7 @@
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{
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- "id": "ba05c308",
+ "id": "2afbee91",
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diff --git a/doc/src/week35/week35.do.txt b/doc/src/week35/week35.do.txt
index 3d7b41860..af2d5b72f 100644
--- a/doc/src/week35/week35.do.txt
+++ b/doc/src/week35/week35.do.txt
@@ -10,13 +10,14 @@ The main topics are:
o Brief repetition from last week
o Reminder on statistics with quantities like mean values, variance and covariance
-o Discussion of how to prepare data and examples of applications of linear regression
-o Mathematical interpretations of Linear Regression
+o Discussion on how to prepare data and examples of applications of linear regression
+o Mathematical interpretations of linear regression
o Ridge and Lasso regression and Singular Value Decomposition
=== Reading recommendations: ===
+
o See lecture notes for week 35 at URL:"https://compphysics.github.io/MachineLearning/doc/web/course.html"
o For a review on statistics see jupyter-book URL:"https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/statistics.html", the most relevant parts are covered by sections 1.1.1-1.1.5
o HTF chapter 3. GBC chapters 1 and and sections 3.1-3.11 and 5.1