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FYS-STK4155/doc/web/course.ipynb
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Morten Hjorth-Jensen ebcf782a6d updating deadlines
2023-10-09 07:31:18 +02:00

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{
"cells": [
{
"cell_type": "markdown",
"id": "45a1e1c6",
"metadata": {
"editable": true
},
"source": [
"<!-- HTML file automatically generated from DocOnce source (https://github.com/doconce/doconce/)\n",
"doconce format html course.do.txt -->\n",
"<!-- dom:TITLE: Overview of course material: Data Analysis and Machine Learning (weekly schedule may be revised) -->"
]
},
{
"cell_type": "markdown",
"id": "63c7fd2d",
"metadata": {
"editable": true
},
"source": [
"# Overview of course material: Data Analysis and Machine Learning (weekly schedule may be revised)\n",
"**[Morten Hjorth-Jensen](http://mhjgit.github.io/info/doc/web/)**, Department of Physics and Astronomy and Facility for Rare ion Beams and National Superconducting Cyclotron Laboratory, Michigan State University, USA and Department of Physics and Center for Computing in Science Education (office FØ470), University of Oslo, Norway\n",
"\n",
"The teaching material is produced in various formats for running codes (jupyter notebooks) and on-screen reading. Below you will also find a link to the lecture notes as a textbook in PDF format and as a jupyter notebook as well. Projects and exercise sets are also included."
]
},
{
"cell_type": "markdown",
"id": "494203f5",
"metadata": {
"editable": true
},
"source": [
"## Week 34 August 21-25:Basic introduction to the course with schedule etc and start Linear Regression\n",
"\n",
" * HTML:\n",
"\n",
" * [Plain html](https://compphysics.github.io/MachineLearning/doc/pub/week34/html/week34.html)\n",
"\n",
" * [reveal.js beige slide style](https://compphysics.github.io/MachineLearning/doc/pub/week34/html/week34-reveal.html)\n",
"\n",
" * [Bootstrap slide style, easy for reading on mobile devices](https://compphysics.github.io/MachineLearning/doc/pub/week34/html/week34-bs.html)\n",
"\n",
" * Jupyter notebook:\n",
"\n",
" * [ipynb file](https://compphysics.github.io/MachineLearning/doc/pub/week34/ipynb/week34.ipynb)"
]
},
{
"cell_type": "markdown",
"id": "07890f37",
"metadata": {
"editable": true
},
"source": [
"## 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",
" * [Plain html](https://compphysics.github.io/MachineLearning/doc/pub/week35/html/week35.html)\n",
"\n",
" * [reveal.js beige slide style](https://compphysics.github.io/MachineLearning/doc/pub/week35/html/week35-reveal.html)\n",
"\n",
" * [Bootstrap slide style, easy for reading on mobile devices](https://compphysics.github.io/MachineLearning/doc/pub/week35/html/week35-bs.html)\n",
"\n",
" * Jupyter notebook:\n",
"\n",
" * [ipynb file](https://compphysics.github.io/MachineLearning/doc/pub/week35/ipynb/week35.ipynb)"
]
},
{
"cell_type": "markdown",
"id": "aeb34c51",
"metadata": {
"editable": true
},
"source": [
"## Week 36 September 4-8: Statistical analysis and discussion of Ridge and Lasso regression\n",
"\n",
" * HTML:\n",
"\n",
" * [Plain html](https://compphysics.github.io/MachineLearning/doc/pub/week36/html/week36.html)\n",
"\n",
" * [reveal.js beige slide style](https://compphysics.github.io/MachineLearning/doc/pub/week36/html/week36-reveal.html)\n",
"\n",
" * [Bootstrap slide style, easy for reading on mobile devices](https://compphysics.github.io/MachineLearning/doc/pub/week36/html/week36-bs.html)\n",
"\n",
" * Jupyter notebook:\n",
"\n",
" * [ipynb file](https://compphysics.github.io/MachineLearning/doc/pub/week36/ipynb/week36.ipynb)"
]
},
{
"cell_type": "markdown",
"id": "dc074b0e",
"metadata": {
"editable": true
},
"source": [
"## Week 37 September 11-15: Resampling techniques, Cross-validation and the Bootstrap\n",
"\n",
" * HTML:\n",
"\n",
" * [Plain html](https://compphysics.github.io/MachineLearning/doc/pub/week37/html/week37.html)\n",
"\n",
" * [reveal.js beige slide style](https://compphysics.github.io/MachineLearning/doc/pub/week37/html/week37-reveal.html)\n",
"\n",
" * [Bootstrap slide style, easy for reading on mobile devices](https://compphysics.github.io/MachineLearning/doc/pub/week37/html/week37-bs.html)\n",
"\n",
" * Jupyter notebook:\n",
"\n",
" * [ipynb file](https://compphysics.github.io/MachineLearning/doc/pub/week37/ipynb/week37.ipynb)"
]
},
{
"cell_type": "markdown",
"id": "77419acf",
"metadata": {
"editable": true
},
"source": [
"## Week 38 September 18-22: Summary of linear regression methods and start Logistic Regression\n",
"\n",
" * HTML:\n",
"\n",
" * [Plain html](https://compphysics.github.io/MachineLearning/doc/pub/week38/html/week38.html)\n",
"\n",
" * [reveal.js beige slide style](https://compphysics.github.io/MachineLearning/doc/pub/week38/html/week38-reveal.html)\n",
"\n",
" * [Bootstrap slide style, easy for reading on mobile devices](https://compphysics.github.io/MachineLearning/doc/pub/week38/html/week38-bs.html)\n",
"\n",
" * Jupyter notebook:\n",
"\n",
" * [ipynb file](https://compphysics.github.io/MachineLearning/doc/pub/week38/ipynb/week38.ipynb)"
]
},
{
"cell_type": "markdown",
"id": "150e3b1e",
"metadata": {
"editable": true
},
"source": [
"## Week 39 September 25-29: Logistic Regression and Gradient methods\n",
"\n",
" * HTML:\n",
"\n",
" * [Plain html](https://compphysics.github.io/MachineLearning/doc/pub/week39/html/week39.html)\n",
"\n",
" * [reveal.js beige slide style](https://compphysics.github.io/MachineLearning/doc/pub/week39/html/week39-reveal.html)\n",
"\n",
" * [Bootstrap slide style, easy for reading on mobile devices](https://compphysics.github.io/MachineLearning/doc/pub/week39/html/week39-bs.html)\n",
"\n",
" * Jupyter notebook:\n",
"\n",
" * [ipynb file](https://compphysics.github.io/MachineLearning/doc/pub/week39/ipynb/week39.ipynb)"
]
},
{
"cell_type": "markdown",
"id": "c28da579",
"metadata": {
"editable": true
},
"source": [
"## 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",
" * [Plain html](https://compphysics.github.io/MachineLearning/doc/pub/week40/html/week40.html)\n",
"\n",
" * [reveal.js beige slide style](https://compphysics.github.io/MachineLearning/doc/pub/week40/html/week40-reveal.html)\n",
"\n",
" * [Bootstrap slide style, easy for reading on mobile devices](https://compphysics.github.io/MachineLearning/doc/pub/week40/html/week40-bs.html)\n",
"\n",
" * Jupyter notebook:\n",
"\n",
" * [ipynb file](https://compphysics.github.io/MachineLearning/doc/pub/week40/ipynb/week40.ipynb)"
]
},
{
"cell_type": "markdown",
"id": "84de3ace",
"metadata": {
"editable": true
},
"source": [
"## Week 41 October 9-13: Building a multi-layer perceptron code and introduction to Tensorflow\n",
"\n",
" * HTML:\n",
"\n",
" * [Plain html](https://compphysics.github.io/MachineLearning/doc/pub/week41/html/week41.html)\n",
"\n",
" * [reveal.js beige slide style](https://compphysics.github.io/MachineLearning/doc/pub/week41/html/week41-reveal.html)\n",
"\n",
" * [Bootstrap slide style, easy for reading on mobile devices](https://compphysics.github.io/MachineLearning/doc/pub/week41/html/week41-bs.html)\n",
"\n",
" * Jupyter notebook:\n",
"\n",
" * [ipynb file](https://compphysics.github.io/MachineLearning/doc/pub/week41/ipynb/week41.ipynb)"
]
},
{
"cell_type": "markdown",
"id": "4b3e3869",
"metadata": {
"editable": true
},
"source": [
"## Week 42 October 16-20: Deep learning, Solving Differential Equations with NNs and Convolutional Neural Networks)\n",
"\n",
" * HTML:\n",
"\n",
" * [Plain html](https://compphysics.github.io/MachineLearning/doc/pub/week42/html/week42.html)\n",
"\n",
" * [reveal.js beige slide style](https://compphysics.github.io/MachineLearning/doc/pub/week42/html/week42-reveal.html)\n",
"\n",
" * [Bootstrap slide style, easy for reading on mobile devices](https://compphysics.github.io/MachineLearning/doc/pub/week42/html/week42-bs.html)\n",
"\n",
" * Jupyter notebook:\n",
"\n",
" * [ipynb file](https://compphysics.github.io/MachineLearning/doc/pub/week42/ipynb/week42.ipynb)"
]
},
{
"cell_type": "markdown",
"id": "4e8a5e5a",
"metadata": {
"editable": true
},
"source": [
"## Week 43 October 23-27: Deep learning, Convolutional Neural Networks and Recurrent Neural Networks\n",
"\n",
" * HTML:\n",
"\n",
" * [Plain html](https://compphysics.github.io/MachineLearning/doc/pub/week43/html/week43.html)\n",
"\n",
" * [reveal.js beige slide style](https://compphysics.github.io/MachineLearning/doc/pub/week43/html/week43-reveal.html)\n",
"\n",
" * [Bootstrap slide style, easy for reading on mobile devices](https://compphysics.github.io/MachineLearning/doc/pub/week43/html/week43-bs.html)\n",
"\n",
" * Jupyter notebook:\n",
"\n",
" * [ipynb file](https://compphysics.github.io/MachineLearning/doc/pub/week43/ipynb/week43.ipynb)"
]
},
{
"cell_type": "markdown",
"id": "7f94e7b0",
"metadata": {
"editable": true
},
"source": [
"## Week 44 October 30- November 3: Decision Trees and Ensemble models\n",
"\n",
" * HTML:\n",
"\n",
" * [Plain html](https://compphysics.github.io/MachineLearning/doc/pub/week44/html/week44.html)\n",
"\n",
" * [reveal.js beige slide style](https://compphysics.github.io/MachineLearning/doc/pub/week44/html/week44-reveal.html)\n",
"\n",
" * [Bootstrap slide style, easy for reading on mobile devices](https://compphysics.github.io/MachineLearning/doc/pub/week44/html/week44-bs.html)\n",
"\n",
" * Jupyter notebook:\n",
"\n",
" * [ipynb file](https://compphysics.github.io/MachineLearning/doc/pub/week44/ipynb/week44.ipynb)"
]
},
{
"cell_type": "markdown",
"id": "a27aae6a",
"metadata": {
"editable": true
},
"source": [
"## Week 45 November 6-10: Decision Trees, Random Forests and Gradient Boosting\n",
"\n",
" * HTML:\n",
"\n",
" * [Plain html](https://compphysics.github.io/MachineLearning/doc/pub/week45/html/week45.html)\n",
"\n",
" * [reveal.js beige slide style](https://compphysics.github.io/MachineLearning/doc/pub/week45/html/week45-reveal.html)\n",
"\n",
" * [Bootstrap slide style, easy for reading on mobile devices](https://compphysics.github.io/MachineLearning/doc/pub/week45/html/week45-bs.html)\n",
"\n",
" * Jupyter notebook:\n",
"\n",
" * [ipynb file](https://compphysics.github.io/MachineLearning/doc/pub/week45/ipynb/week45.ipynb)"
]
},
{
"cell_type": "markdown",
"id": "ccb8ec13",
"metadata": {
"editable": true
},
"source": [
"## Week 46 November 13-17: Support Vector Machines\n",
"\n",
" * HTML:\n",
"\n",
" * [Plain html](https://compphysics.github.io/MachineLearning/doc/pub/week46/html/week46.html)\n",
"\n",
" * [reveal.js beige slide style](https://compphysics.github.io/MachineLearning/doc/pub/week46/html/week46-reveal.html)\n",
"\n",
" * [Bootstrap slide style, easy for reading on mobile devices](https://compphysics.github.io/MachineLearning/doc/pub/week46/html/week46-bs.html)\n",
"\n",
" * Jupyter notebook:\n",
"\n",
" * [ipynb file](https://compphysics.github.io/MachineLearning/doc/pub/week46/ipynb/week46.ipynb)"
]
},
{
"cell_type": "markdown",
"id": "23d90802",
"metadata": {
"editable": true
},
"source": [
"## Week 47 November 20-24: Support Vector Machines and unsupervised learning and Summary of Course with Future Perspectives\n",
"\n",
" * HTML:\n",
"\n",
" * [Plain html](https://compphysics.github.io/MachineLearning/doc/pub/week47/html/week47.html)\n",
"\n",
" * [reveal.js beige slide style](https://compphysics.github.io/MachineLearning/doc/pub/week47/html/week47-reveal.html)\n",
"\n",
" * [Bootstrap slide style, easy for reading on mobile devices](https://compphysics.github.io/MachineLearning/doc/pub/week47/html/week47-bs.html)\n",
"\n",
" * Jupyter notebook:\n",
"\n",
" * [ipynb file](https://compphysics.github.io/MachineLearning/doc/pub/week47/ipynb/week47.ipynb)"
]
},
{
"cell_type": "markdown",
"id": "7636b078",
"metadata": {
"editable": true
},
"source": [
"## Textbook\n",
" * As a jupyter book:\n",
"\n",
" * [ipynb file](https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/intro.html)"
]
},
{
"cell_type": "markdown",
"id": "2bfe7909",
"metadata": {
"editable": true
},
"source": [
"## Projects Fall 2023 (dates are tentative)"
]
},
{
"cell_type": "markdown",
"id": "1947327e",
"metadata": {
"editable": true
},
"source": [
"### Project 1, Deadline October 15 (available September 3)\n",
"\n",
" * LaTeX and PDF:\n",
"\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/2023/Project1/pdf/Project1.pdf)\n",
"\n",
" * HTML:\n",
"\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/2023/Project1/html/Project1-bs.html)\n",
"\n",
" * Jupyter notebook:\n",
"\n",
" * [ipynb file](http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project1/ipynb/Project1.ipynb)"
]
},
{
"cell_type": "markdown",
"id": "be660624",
"metadata": {
"editable": true
},
"source": [
"### Project 2, Deadline November 13 (available October 8)\n",
"\n",
" * LaTeX and PDF:\n",
"\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/2023/Project2/pdf/Project2.pdf)\n",
"\n",
" * HTML:\n",
"\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/2023/Project2/html/Project2-bs.html)\n",
"\n",
" * Jupyter notebook:\n",
"\n",
" * [ipynb file](http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project2/ipynb/Project2.ipynb)"
]
},
{
"cell_type": "markdown",
"id": "46a7f9cc",
"metadata": {
"editable": true
},
"source": [
"### Project 3, Deadline December 11 (available November 12)\n",
"\n",
" * LaTeX and PDF:\n",
"\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/2023/Project3/pdf/Project3.pdf)\n",
"\n",
" * HTML:\n",
"\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/2023/Project3/html/Project3-bs.html)\n",
"\n",
" * Jupyter notebook:\n",
"\n",
" * [ipynb file](http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project3/ipynb/Project3.ipynb)"
]
}
],
"metadata": {},
"nbformat": 4,
"nbformat_minor": 5
}
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