TITLE: Overview of course material: Data Analysis and Machine Learning (weekly schedule may be revised)
AUTHOR: "Morten Hjorth-Jensen":"http://mhjgit.github.io/info/doc/web/" at Department of Physics and Astronomy and Facility for Rare ion Beams and National Superconducting Cyclotron Laboratory, Michigan State University, USA &  Department of Physics and Center for Computing in Science Education (office FØ470), University of Oslo, Norway











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.



===== Week 34 August 19-23:Basic introduction to the course with schedule etc and start Linear Regression =====



 * HTML:
   * "Plain html": "https://compphysics.github.io/MachineLearning/doc/pub/week34/html/week34.html"
   * "reveal.js beige slide style": "https://compphysics.github.io/MachineLearning/doc/pub/week34/html/week34-reveal.html"
   * "Bootstrap  slide style, easy for reading on mobile devices": "https://compphysics.github.io/MachineLearning/doc/pub/week34/html/week34-bs.html"
 * Jupyter notebook:
   * "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week34/ipynb/week34.ipynb"


===== Week 35 August 26-30: Linear regression, from ordinary Least Squares to Ridge and Lasso Regression, Elements of Statistics =====



 * HTML:
   * "Plain html": "https://compphysics.github.io/MachineLearning/doc/pub/week35/html/week35.html"
   * "reveal.js beige slide style": "https://compphysics.github.io/MachineLearning/doc/pub/week35/html/week35-reveal.html"
   * "Bootstrap  slide style, easy for reading on mobile devices": "https://compphysics.github.io/MachineLearning/doc/pub/week35/html/week35-bs.html"
 * Jupyter notebook:
   * "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week35/ipynb/week35.ipynb"


===== Week 36 September 2-6: Statistical analysis and discussion of Ridge and Lasso regression =====



 * HTML:
   * "Plain html": "https://compphysics.github.io/MachineLearning/doc/pub/week36/html/week36.html"
   * "reveal.js beige slide style": "https://compphysics.github.io/MachineLearning/doc/pub/week36/html/week36-reveal.html"
   * "Bootstrap  slide style, easy for reading on mobile devices": "https://compphysics.github.io/MachineLearning/doc/pub/week36/html/week36-bs.html"
 * Jupyter notebook:
   * "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week36/ipynb/week36.ipynb"


===== Week 37 September 9-13: Resampling techniques, Cross-validation and the Bootstrap =====



 * HTML:
   * "Plain html": "https://compphysics.github.io/MachineLearning/doc/pub/week37/html/week37.html"
   * "reveal.js beige slide style": "https://compphysics.github.io/MachineLearning/doc/pub/week37/html/week37-reveal.html"
   * "Bootstrap  slide style, easy for reading on mobile devices": "https://compphysics.github.io/MachineLearning/doc/pub/week37/html/week37-bs.html"
 * Jupyter notebook:
   * "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week37/ipynb/week37.ipynb"


===== Week 38 September 16-20: Summary of linear regression methods and start Logistic Regression =====



 * HTML:
   * "Plain html": "https://compphysics.github.io/MachineLearning/doc/pub/week38/html/week38.html"
   * "reveal.js beige slide style": "https://compphysics.github.io/MachineLearning/doc/pub/week38/html/week38-reveal.html"
   * "Bootstrap  slide style, easy for reading on mobile devices": "https://compphysics.github.io/MachineLearning/doc/pub/week38/html/week38-bs.html"
 * Jupyter notebook:
   * "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week38/ipynb/week38.ipynb"


===== Week 39 September 23-27: Logistic Regression and Gradient methods =====



 * HTML:
   * "Plain html": "https://compphysics.github.io/MachineLearning/doc/pub/week39/html/week39.html"
   * "reveal.js beige slide style": "https://compphysics.github.io/MachineLearning/doc/pub/week39/html/week39-reveal.html"
   * "Bootstrap  slide style, easy for reading on mobile devices": "https://compphysics.github.io/MachineLearning/doc/pub/week39/html/week39-bs.html"
 * Jupyter notebook:
   * "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week39/ipynb/week39.ipynb"


===== Week 40 October 2-6: Stochastic Gradient Descent =====



 * HTML:
   * "Plain html": "https://compphysics.github.io/MachineLearning/doc/pub/week40/html/week40.html"
   * "reveal.js beige slide style": "https://compphysics.github.io/MachineLearning/doc/pub/week40/html/week40-reveal.html"
   * "Bootstrap  slide style, easy for reading on mobile devices": "https://compphysics.github.io/MachineLearning/doc/pub/week40/html/week40-bs.html"
 * Jupyter notebook:
   * "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week40/ipynb/week40.ipynb"


===== Week 41 October 7-11: Neural Networks, starting to build a multi-layer Perceptron model, the Back Propagation algoritm =====



 * HTML:
   * "Plain html": "https://compphysics.github.io/MachineLearning/doc/pub/week41/html/week41.html"
   * "reveal.js beige slide style": "https://compphysics.github.io/MachineLearning/doc/pub/week41/html/week41-reveal.html"
   * "Bootstrap  slide style, easy for reading on mobile devices": "https://compphysics.github.io/MachineLearning/doc/pub/week41/html/week41-bs.html"
 * Jupyter notebook:
   * "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week41/ipynb/week41.ipynb"


===== Week 42 October 14-18: Building a multi-layer perceptron code and introduction to Tensorflow =====



 * HTML:
   * "Plain html": "https://compphysics.github.io/MachineLearning/doc/pub/week42/html/week42.html"
   * "reveal.js beige slide style": "https://compphysics.github.io/MachineLearning/doc/pub/week42/html/week42-reveal.html"
   * "Bootstrap  slide style, easy for reading on mobile devices": "https://compphysics.github.io/MachineLearning/doc/pub/week42/html/week42-bs.html"
 * Jupyter notebook:
   * "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week42/ipynb/week42.ipynb"


===== Week 43 October 21-25: Deep learning, Solving Differential Equations with NNs and Convolutional Neural Networks) =====



 * HTML:
   * "Plain html": "https://compphysics.github.io/MachineLearning/doc/pub/week43/html/week43.html"
   * "reveal.js beige slide style": "https://compphysics.github.io/MachineLearning/doc/pub/week43/html/week43-reveal.html"
   * "Bootstrap  slide style, easy for reading on mobile devices": "https://compphysics.github.io/MachineLearning/doc/pub/week43/html/week43-bs.html"
 * Jupyter notebook:
   * "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week43/ipynb/week43.ipynb"


===== Week 44 October 28- November 1: Convolutional Neural Networks =====



 * HTML:
   * "Plain html": "https://compphysics.github.io/MachineLearning/doc/pub/week44/html/week44.html"
   * "reveal.js beige slide style": "https://compphysics.github.io/MachineLearning/doc/pub/week44/html/week44-reveal.html"
   * "Bootstrap  slide style, easy for reading on mobile devices": "https://compphysics.github.io/MachineLearning/doc/pub/week44/html/week44-bs.html"
 * Jupyter notebook:
   * "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week44/ipynb/week44.ipynb"


===== Week 45 November 4-8: Convolutional neural networks and Recurrent neural networks =====



 * HTML:
   * "Plain html": "https://compphysics.github.io/MachineLearning/doc/pub/week45/html/week45.html"
   * "reveal.js beige slide style": "https://compphysics.github.io/MachineLearning/doc/pub/week45/html/week45-reveal.html"
   * "Bootstrap  slide style, easy for reading on mobile devices": "https://compphysics.github.io/MachineLearning/doc/pub/week45/html/week45-bs.html"
 * Jupyter notebook:
   * "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week45/ipynb/week45.ipynb"


===== Week 46 November 11-15: Decision trees, random forests and other ensemble methods =====



 * HTML:
   * "Plain html": "https://compphysics.github.io/MachineLearning/doc/pub/week46/html/week46.html"
   * "reveal.js beige slide style": "https://compphysics.github.io/MachineLearning/doc/pub/week46/html/week46-reveal.html"
   * "Bootstrap  slide style, easy for reading on mobile devices": "https://compphysics.github.io/MachineLearning/doc/pub/week46/html/week46-bs.html"
 * Jupyter notebook:
   * "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week46/ipynb/week46.ipynb"


===== Week 47 November 18-22: Ensemble methods, Bagging and Boosting  and Summary of Course with Future Perspectives =====



 * HTML:
   * "Plain html": "https://compphysics.github.io/MachineLearning/doc/pub/week47/html/week47.html"
   * "reveal.js beige slide style": "https://compphysics.github.io/MachineLearning/doc/pub/week47/html/week47-reveal.html"
   * "Bootstrap  slide style, easy for reading on mobile devices": "https://compphysics.github.io/MachineLearning/doc/pub/week47/html/week47-bs.html"
 * Jupyter notebook:
   * "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week47/ipynb/week47.ipynb"



!split
=====  Textbook =====
 * As a jupyter book:
   * "ipynb file": "https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/intro.html"





!split
===== Projects Fall 2023 (dates are tentative) =====


=== 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"
 * HTML:
   * "Plain html":"http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project1/html/Project1.html"
   * "Bootstrap  slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project1/html/Project1-bs.html"
 * Jupyter notebook:
   * "ipynb file": "http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project1/ipynb/Project1.ipynb"

=== 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"
 * HTML:
   * "Plain html":"http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project2/html/Project2.html"
   * "Bootstrap  slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project2/html/Project2-bs.html"
 * Jupyter notebook:
   * "ipynb file": "http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project2/ipynb/Project2.ipynb"


=== 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"
 * HTML:
   * "Plain html":"http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project3/html/Project3.html"
   * "Bootstrap  slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project3/html/Project3-bs.html"
 * Jupyter notebook:
   * "ipynb file": "http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project3/ipynb/Project3.ipynb"







