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updating deadlines

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This commit is contained in:
Morten Hjorth-Jensen
2023-10-09 07:31:18 +02:00
parent ac398640de
commit ebcf782a6d
4 changed files with 65 additions and 66 deletions
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doc/web/course.dlog
+3
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@@ -237,3 +237,6 @@ output in course.html
running mako on course.do.txt to make tmp_mako__course.do.txt
Translating doconce text in tmp_mako__course.do.txt to html
output in course.html
running mako on course.do.txt to make tmp_mako__course.do.txt
Translating doconce text in tmp_mako__course.do.txt to ipynb
output in course.ipynb
doc/web/course.do.txt
+3 -3
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@@ -64,7 +64,7 @@ ${text_types(ch)}
===== Projects Fall 2023 (dates are tentative) =====
=== Project 1, Deadline October 9 (available September 3) ===
=== Project 1, Deadline October 15 (available September 3) ===
* LaTeX and PDF:
* "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project1/pdf/Project1.tex"
* "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project1/pdf/Project1.pdf"
@@ -74,7 +74,7 @@ ${text_types(ch)}
* Jupyter notebook:
* "ipynb file": "http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project1/ipynb/Project1.ipynb"
=== Project 2, Deadline November 6 (available October 8) ===
=== Project 2, Deadline November 13 (available October 8) ===
* LaTeX and PDF:
* "Latex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project2/pdf/Project2.tex"
* "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project2/pdf/Project2.pdf"
@@ -85,7 +85,7 @@ ${text_types(ch)}
* "ipynb file": "http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project2/ipynb/Project2.ipynb"
=== Project 3, Deadline December 11 (available November 5) ===
=== Project 3, Deadline December 11 (available November 12) ===
* LaTeX and PDF:
* "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project3/pdf/Project3.tex"
* "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project3/pdf/Project3.pdf"
doc/web/course.ipynb
+56 -60
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@@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "markdown",
"id": "d770ac66",
"id": "45a1e1c6",
"metadata": {
"editable": true
},
@@ -14,7 +14,7 @@
},
{
"cell_type": "markdown",
"id": "ecd12e76",
"id": "63c7fd2d",
"metadata": {
"editable": true
},
@@ -27,12 +27,12 @@
},
{
"cell_type": "markdown",
"id": "b4bfaedf",
"id": "494203f5",
"metadata": {
"editable": true
},
"source": [
"## Week 34 August 22-26:Basic introduction to the course with schedule etc and start Linear Regression\n",
"## Week 34 August 21-25:Basic introduction to the course with schedule etc and start Linear Regression\n",
"\n",
" * HTML:\n",
"\n",
@@ -49,12 +49,12 @@
},
{
"cell_type": "markdown",
"id": "c0857cb6",
"id": "07890f37",
"metadata": {
"editable": true
},
"source": [
"## Week 35 August 29- September 2: Linear regression, from ordinary Least Squares to Ridge and Lasso Regression, Elements of Statistics\n",
"## Week 35 August 28- September 1: Linear regression, from ordinary Least Squares to Ridge and Lasso Regression, Elements of Statistics\n",
"\n",
" * HTML:\n",
"\n",
@@ -71,12 +71,12 @@
},
{
"cell_type": "markdown",
"id": "c2743341",
"id": "aeb34c51",
"metadata": {
"editable": true
},
"source": [
"## Week 36 September 5-9: Statistical analysis and discussion of Ridge and Lasso regression\n",
"## Week 36 September 4-8: Statistical analysis and discussion of Ridge and Lasso regression\n",
"\n",
" * HTML:\n",
"\n",
@@ -93,12 +93,12 @@
},
{
"cell_type": "markdown",
"id": "62545716",
"id": "dc074b0e",
"metadata": {
"editable": true
},
"source": [
"## Week 37 September 12-16: Resampling techniques, Cross-validation and the Bootstrap\n",
"## Week 37 September 11-15: Resampling techniques, Cross-validation and the Bootstrap\n",
"\n",
" * HTML:\n",
"\n",
@@ -115,12 +115,12 @@
},
{
"cell_type": "markdown",
"id": "8931628c",
"id": "77419acf",
"metadata": {
"editable": true
},
"source": [
"## Week 38 September 19-23: Summary of linear regression methods and start Logistic Regression\n",
"## Week 38 September 18-22: Summary of linear regression methods and start Logistic Regression\n",
"\n",
" * HTML:\n",
"\n",
@@ -137,12 +137,12 @@
},
{
"cell_type": "markdown",
"id": "8c694720",
"id": "150e3b1e",
"metadata": {
"editable": true
},
"source": [
"## Week 39 September 26-30: Logistic Regression and Gradient methods\n",
"## Week 39 September 25-29: Logistic Regression and Gradient methods\n",
"\n",
" * HTML:\n",
"\n",
@@ -159,12 +159,12 @@
},
{
"cell_type": "markdown",
"id": "9b0dd74b",
"id": "c28da579",
"metadata": {
"editable": true
},
"source": [
"## Week 40 October 3-7: Stochastic Gradient Descent and Neural Networks, starting to build a multi-layer Perceptron model, the Back Propagation algoritm\n",
"## Week 40 October 2-6: Stochastic Gradient Descent and Neural Networks, starting to build a multi-layer Perceptron model, the Back Propagation algoritm\n",
"\n",
" * HTML:\n",
"\n",
@@ -181,12 +181,12 @@
},
{
"cell_type": "markdown",
"id": "4fbebbaa",
"id": "84de3ace",
"metadata": {
"editable": true
},
"source": [
"## Week 41 October 10-14: Building a multi-layer perceptron code and introduction to Tensorflow\n",
"## Week 41 October 9-13: Building a multi-layer perceptron code and introduction to Tensorflow\n",
"\n",
" * HTML:\n",
"\n",
@@ -203,12 +203,12 @@
},
{
"cell_type": "markdown",
"id": "9c6acfa1",
"id": "4b3e3869",
"metadata": {
"editable": true
},
"source": [
"## Week 42 October 17-21: Deep learning, Solving Differential Equations with NNs and Convolutional Neural Networks)\n",
"## Week 42 October 16-20: Deep learning, Solving Differential Equations with NNs and Convolutional Neural Networks)\n",
"\n",
" * HTML:\n",
"\n",
@@ -225,12 +225,12 @@
},
{
"cell_type": "markdown",
"id": "76ba5237",
"id": "4e8a5e5a",
"metadata": {
"editable": true
},
"source": [
"## Week 43 October 24-28: Deep learning, Convolutional Neural Networks and Recurrent Neural Networks, Principal Component Analysis\n",
"## Week 43 October 23-27: Deep learning, Convolutional Neural Networks and Recurrent Neural Networks\n",
"\n",
" * HTML:\n",
"\n",
@@ -247,12 +247,12 @@
},
{
"cell_type": "markdown",
"id": "9a7f11a3",
"id": "7f94e7b0",
"metadata": {
"editable": true
},
"source": [
"## Week 44 October 31- November 4: Principal Component analysis, Clustering and Decision Trees\n",
"## Week 44 October 30- November 3: Decision Trees and Ensemble models\n",
"\n",
" * HTML:\n",
"\n",
@@ -269,12 +269,12 @@
},
{
"cell_type": "markdown",
"id": "6963082a",
"id": "a27aae6a",
"metadata": {
"editable": true
},
"source": [
"## Week 45 November 7-11: Decision Trees, Random Forests and Gradient Boosting\n",
"## Week 45 November 6-10: Decision Trees, Random Forests and Gradient Boosting\n",
"\n",
" * HTML:\n",
"\n",
@@ -291,12 +291,12 @@
},
{
"cell_type": "markdown",
"id": "8d0557fc",
"id": "ccb8ec13",
"metadata": {
"editable": true
},
"source": [
"## Week 46 November 14-18: Gradient boosting and Support Vector Machines\n",
"## Week 46 November 13-17: Support Vector Machines\n",
"\n",
" * HTML:\n",
"\n",
@@ -313,12 +313,12 @@
},
{
"cell_type": "markdown",
"id": "6430235d",
"id": "23d90802",
"metadata": {
"editable": true
},
"source": [
"## Week 47 November 21-25: Support Vector Machines and Summary of Course with Future Perspectives\n",
"## Week 47 November 20-24: Support Vector Machines and unsupervised learning and Summary of Course with Future Perspectives\n",
"\n",
" * HTML:\n",
"\n",
@@ -335,107 +335,103 @@
},
{
"cell_type": "markdown",
"id": "d91b1edd",
"id": "7636b078",
"metadata": {
"editable": true
},
"source": [
"## Textbook\n",
" * PDF-file:\n",
" * As a jupyter book:\n",
"\n",
" * [PDF file](http://compphysics.github.io/MachineLearning/doc/LectureNotes/pdf/book.pdf)\n",
"\n",
" * Jupyter notebook:\n",
"\n",
" * [ipynb file](http://compphysics.github.io/MachineLearning/doc/LectureNotes/ipynb/book.ipynb)"
" * [ipynb file](https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/intro.html)"
]
},
{
"cell_type": "markdown",
"id": "1c12f23b",
"id": "2bfe7909",
"metadata": {
"editable": true
},
"source": [
"## Projects Fall 2022 (dates are tentative)"
"## Projects Fall 2023 (dates are tentative)"
]
},
{
"cell_type": "markdown",
"id": "00f9705b",
"id": "1947327e",
"metadata": {
"editable": true
},
"source": [
"### Project 1, Deadline October 11 (available September 5)\n",
"### Project 1, Deadline October 15 (available September 3)\n",
"\n",
" * LaTeX and PDF:\n",
"\n",
" * [LaTex file](http://compphysics.github.io/MachineLearning/doc/Projects/2022/Project1/pdf/Project1.tex)\n",
" * [LaTex file](http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project1/pdf/Project1.tex)\n",
"\n",
" * [PDF file](http://compphysics.github.io/MachineLearning/doc/Projects/2022/Project1/pdf/Project1.pdf)\n",
" * [PDF file](http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project1/pdf/Project1.pdf)\n",
"\n",
" * HTML:\n",
"\n",
" * [Plain html](http://compphysics.github.io/MachineLearning/doc/Projects/2022/Project1/html/Project1.html)\n",
" * [Plain html](http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project1/html/Project1.html)\n",
"\n",
" * [Bootstrap slide style, easy for reading on mobile devices](http://compphysics.github.io/MachineLearning/doc/Projects/2022/Project1/html/Project1-bs.html)\n",
" * [Bootstrap slide style, easy for reading on mobile devices](http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project1/html/Project1-bs.html)\n",
"\n",
" * Jupyter notebook:\n",
"\n",
" * [ipynb file](http://compphysics.github.io/MachineLearning/doc/Projects/2022/Project1/ipynb/Project1.ipynb)"
" * [ipynb file](http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project1/ipynb/Project1.ipynb)"
]
},
{
"cell_type": "markdown",
"id": "2b0297dd",
"id": "be660624",
"metadata": {
"editable": true
},
"source": [
"### Project 2, Deadline November 11 (available October 7)\n",
"### Project 2, Deadline November 13 (available October 8)\n",
"\n",
" * LaTeX and PDF:\n",
"\n",
" * [Latex file](http://compphysics.github.io/MachineLearning/doc/Projects/2022/Project2/pdf/Project2.tex)\n",
" * [Latex file](http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project2/pdf/Project2.tex)\n",
"\n",
" * [PDF file](http://compphysics.github.io/MachineLearning/doc/Projects/2022/Project2/pdf/Project2.pdf)\n",
" * [PDF file](http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project2/pdf/Project2.pdf)\n",
"\n",
" * HTML:\n",
"\n",
" * [Plain html](http://compphysics.github.io/MachineLearning/doc/Projects/2022/Project2/html/Project2.html)\n",
" * [Plain html](http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project2/html/Project2.html)\n",
"\n",
" * [Bootstrap slide style, easy for reading on mobile devices](http://compphysics.github.io/MachineLearning/doc/Projects/2022/Project2/html/Project2-bs.html)\n",
" * [Bootstrap slide style, easy for reading on mobile devices](http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project2/html/Project2-bs.html)\n",
"\n",
" * Jupyter notebook:\n",
"\n",
" * [ipynb file](http://compphysics.github.io/MachineLearning/doc/Projects/2022/Project2/ipynb/Project2.ipynb)"
" * [ipynb file](http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project2/ipynb/Project2.ipynb)"
]
},
{
"cell_type": "markdown",
"id": "2b2f5e6f",
"id": "46a7f9cc",
"metadata": {
"editable": true
},
"source": [
"### Project 3, Deadline December 9 (available November 11)\n",
"### Project 3, Deadline December 11 (available November 12)\n",
"\n",
" * LaTeX and PDF:\n",
"\n",
" * [LaTex file](http://compphysics.github.io/MachineLearning/doc/Projects/2022/Project3/pdf/Project3.tex)\n",
" * [LaTex file](http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project3/pdf/Project3.tex)\n",
"\n",
" * [PDF file](http://compphysics.github.io/MachineLearning/doc/Projects/2022/Project3/pdf/Project3.pdf)\n",
" * [PDF file](http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project3/pdf/Project3.pdf)\n",
"\n",
" * HTML:\n",
"\n",
" * [Plain html](http://compphysics.github.io/MachineLearning/doc/Projects/2022/Project3/html/Project3.html)\n",
" * [Plain html](http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project3/html/Project3.html)\n",
"\n",
" * [Bootstrap slide style, easy for reading on mobile devices](http://compphysics.github.io/MachineLearning/doc/Projects/2022/Project3/html/Project3-bs.html)\n",
" * [Bootstrap slide style, easy for reading on mobile devices](http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project3/html/Project3-bs.html)\n",
"\n",
" * Jupyter notebook:\n",
"\n",
" * [ipynb file](http://compphysics.github.io/MachineLearning/doc/Projects/2022/Project3/ipynb/Project3.ipynb)"
" * [ipynb file](http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project3/ipynb/Project3.ipynb)"
]
}
],
doc/web/tmp_mako__course.do.txt
+3 -3
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@@ -197,7 +197,7 @@ The teaching material is produced in various formats for running codes (jupyter
===== Projects Fall 2023 (dates are tentative) =====
=== Project 1, Deadline October 9 (available September 3) ===
=== Project 1, Deadline October 15 (available September 3) ===
* LaTeX and PDF:
* "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project1/pdf/Project1.tex"
* "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project1/pdf/Project1.pdf"
@@ -207,7 +207,7 @@ The teaching material is produced in various formats for running codes (jupyter
* Jupyter notebook:
* "ipynb file": "http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project1/ipynb/Project1.ipynb"
=== Project 2, Deadline November 6 (available October 8) ===
=== Project 2, Deadline November 13 (available October 8) ===
* LaTeX and PDF:
* "Latex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project2/pdf/Project2.tex"
* "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project2/pdf/Project2.pdf"
@@ -218,7 +218,7 @@ The teaching material is produced in various formats for running codes (jupyter
* "ipynb file": "http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project2/ipynb/Project2.ipynb"
=== Project 3, Deadline December 11 (available November 5) ===
=== Project 3, Deadline December 11 (available November 12) ===
* LaTeX and PDF:
* "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project3/pdf/Project3.tex"
* "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project3/pdf/Project3.pdf"