Morten Hjorth-Jensen
239 lines
12 KiB
Plaintext
239 lines
12 KiB
Plaintext
TITLE: Overview of course material: Data Analysis and Machine Learning (weekly schedule may be revised)
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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
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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.
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===== Week 34 August 23-27:Basic introduction to the course with schedule etc and start Linear Regression =====
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* HTML:
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* "Plain html": "https://compphysics.github.io/MachineLearning/doc/pub/week34/html/week34.html"
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* "reveal.js beige slide style": "https://compphysics.github.io/MachineLearning/doc/pub/week34/html/week34-reveal.html"
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* "Bootstrap slide style, easy for reading on mobile devices": "https://compphysics.github.io/MachineLearning/doc/pub/week34/html/week34-bs.html"
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* Jupyter notebook:
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* "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week34/ipynb/week34.ipynb"
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===== Week 35 August 30- September 3: Linear regression, from ordinary Least Squares to Ridge and Lasso Regression =====
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* HTML:
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* "Plain html": "https://compphysics.github.io/MachineLearning/doc/pub/week35/html/week35.html"
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* "reveal.js beige slide style": "https://compphysics.github.io/MachineLearning/doc/pub/week35/html/week35-reveal.html"
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* "Bootstrap slide style, easy for reading on mobile devices": "https://compphysics.github.io/MachineLearning/doc/pub/week35/html/week35-bs.html"
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* Jupyter notebook:
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* "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week35/ipynb/week35.ipynb"
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===== Week 36 September 6-10: Statistical analysis and discussion of Ridge and Lasso regression =====
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* HTML:
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* "Plain html": "https://compphysics.github.io/MachineLearning/doc/pub/week36/html/week36.html"
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* "reveal.js beige slide style": "https://compphysics.github.io/MachineLearning/doc/pub/week36/html/week36-reveal.html"
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* "Bootstrap slide style, easy for reading on mobile devices": "https://compphysics.github.io/MachineLearning/doc/pub/week36/html/week36-bs.html"
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* Jupyter notebook:
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* "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week36/ipynb/week36.ipynb"
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===== Week 37 September 13-17: Resampling techniques, Cross-validation and the Bootstrap =====
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* HTML:
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* "Plain html": "https://compphysics.github.io/MachineLearning/doc/pub/week37/html/week37.html"
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* "reveal.js beige slide style": "https://compphysics.github.io/MachineLearning/doc/pub/week37/html/week37-reveal.html"
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* "Bootstrap slide style, easy for reading on mobile devices": "https://compphysics.github.io/MachineLearning/doc/pub/week37/html/week37-bs.html"
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* Jupyter notebook:
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* "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week37/ipynb/week37.ipynb"
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===== Week 38 September 20-24: Summary of linear regression methods and start Logistic Regression =====
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* HTML:
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* "Plain html": "https://compphysics.github.io/MachineLearning/doc/pub/week38/html/week38.html"
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* "reveal.js beige slide style": "https://compphysics.github.io/MachineLearning/doc/pub/week38/html/week38-reveal.html"
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* "Bootstrap slide style, easy for reading on mobile devices": "https://compphysics.github.io/MachineLearning/doc/pub/week38/html/week38-bs.html"
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* Jupyter notebook:
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* "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week38/ipynb/week38.ipynb"
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===== Week 39 September 27- October 1: Logistic Regression and Gradient methods =====
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* HTML:
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* "Plain html": "https://compphysics.github.io/MachineLearning/doc/pub/week39/html/week39.html"
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* "reveal.js beige slide style": "https://compphysics.github.io/MachineLearning/doc/pub/week39/html/week39-reveal.html"
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* "Bootstrap slide style, easy for reading on mobile devices": "https://compphysics.github.io/MachineLearning/doc/pub/week39/html/week39-bs.html"
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* Jupyter notebook:
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* "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week39/ipynb/week39.ipynb"
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===== Week 40 October 4-8: Stochastic Gradient Descent and Neural Networks, starting to build a multi-layer Perceptron model, the Back Propagation algoritm =====
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* HTML:
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* "Plain html": "https://compphysics.github.io/MachineLearning/doc/pub/week40/html/week40.html"
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* "reveal.js beige slide style": "https://compphysics.github.io/MachineLearning/doc/pub/week40/html/week40-reveal.html"
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* "Bootstrap slide style, easy for reading on mobile devices": "https://compphysics.github.io/MachineLearning/doc/pub/week40/html/week40-bs.html"
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* Jupyter notebook:
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* "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week40/ipynb/week40.ipynb"
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===== Week 41 October 11-15: Building a multi-layer perceptron code and introduction to Tensorflow =====
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* HTML:
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* "Plain html": "https://compphysics.github.io/MachineLearning/doc/pub/week41/html/week41.html"
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* "reveal.js beige slide style": "https://compphysics.github.io/MachineLearning/doc/pub/week41/html/week41-reveal.html"
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* "Bootstrap slide style, easy for reading on mobile devices": "https://compphysics.github.io/MachineLearning/doc/pub/week41/html/week41-bs.html"
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* Jupyter notebook:
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* "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week41/ipynb/week41.ipynb"
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===== Week 42 October 18-22: Deep learning, Solving Differential Equations with NNs and Convolutional Neural Networks) =====
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* HTML:
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* "Plain html": "https://compphysics.github.io/MachineLearning/doc/pub/week42/html/week42.html"
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* "reveal.js beige slide style": "https://compphysics.github.io/MachineLearning/doc/pub/week42/html/week42-reveal.html"
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* "Bootstrap slide style, easy for reading on mobile devices": "https://compphysics.github.io/MachineLearning/doc/pub/week42/html/week42-bs.html"
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* Jupyter notebook:
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* "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week42/ipynb/week42.ipynb"
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===== Week 43 October 25-29: Deep learning, Convolutional Neural Networks and Recurrent Neural Networks, Principal Component Analysis =====
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* HTML:
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* "Plain html": "https://compphysics.github.io/MachineLearning/doc/pub/week43/html/week43.html"
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* "reveal.js beige slide style": "https://compphysics.github.io/MachineLearning/doc/pub/week43/html/week43-reveal.html"
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* "Bootstrap slide style, easy for reading on mobile devices": "https://compphysics.github.io/MachineLearning/doc/pub/week43/html/week43-bs.html"
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* Jupyter notebook:
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* "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week43/ipynb/week43.ipynb"
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===== Week 44 November 1-5: Principal Component analysis, Clustering and Decision Trees =====
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* HTML:
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* "Plain html": "https://compphysics.github.io/MachineLearning/doc/pub/week44/html/week44.html"
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* "reveal.js beige slide style": "https://compphysics.github.io/MachineLearning/doc/pub/week44/html/week44-reveal.html"
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* "Bootstrap slide style, easy for reading on mobile devices": "https://compphysics.github.io/MachineLearning/doc/pub/week44/html/week44-bs.html"
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* Jupyter notebook:
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* "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week44/ipynb/week44.ipynb"
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===== Week 45 November 8-12: Decision Trees, Random Forests and Gradient Boosting =====
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* HTML:
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* "Plain html": "https://compphysics.github.io/MachineLearning/doc/pub/week45/html/week45.html"
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* "reveal.js beige slide style": "https://compphysics.github.io/MachineLearning/doc/pub/week45/html/week45-reveal.html"
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* "Bootstrap slide style, easy for reading on mobile devices": "https://compphysics.github.io/MachineLearning/doc/pub/week45/html/week45-bs.html"
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* Jupyter notebook:
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* "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week45/ipynb/week45.ipynb"
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===== Week 46 November 15-19: Gradient boosting and Support Vector Machines =====
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* HTML:
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* "Plain html": "https://compphysics.github.io/MachineLearning/doc/pub/week46/html/week46.html"
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* "reveal.js beige slide style": "https://compphysics.github.io/MachineLearning/doc/pub/week46/html/week46-reveal.html"
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* "Bootstrap slide style, easy for reading on mobile devices": "https://compphysics.github.io/MachineLearning/doc/pub/week46/html/week46-bs.html"
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* Jupyter notebook:
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* "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week46/ipynb/week46.ipynb"
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===== Week 47 November 22-26: Support Vector Machines and Summary of Course with Future Perspectives =====
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* HTML:
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* "Plain html": "https://compphysics.github.io/MachineLearning/doc/pub/week47/html/week47.html"
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* "reveal.js beige slide style": "https://compphysics.github.io/MachineLearning/doc/pub/week47/html/week47-reveal.html"
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* "Bootstrap slide style, easy for reading on mobile devices": "https://compphysics.github.io/MachineLearning/doc/pub/week47/html/week47-bs.html"
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* Jupyter notebook:
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* "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week47/ipynb/week47.ipynb"
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!split
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===== Textbook =====
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* PDF-file:
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* "PDF file":"http://compphysics.github.io/MachineLearning/doc/LectureNotes/pdf/book.pdf"
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* Jupyter notebook:
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* "ipynb file": "http://compphysics.github.io/MachineLearning/doc/LectureNotes/ipynb/book.ipynb"
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!split
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===== Projects Fall 2021 (dates are tentative) =====
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=== Project 1, Deadline October 11 (available September 10) ===
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* LaTeX and PDF:
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* "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project1/pdf/Project1.tex"
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* "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project1/pdf/Project1.pdf"
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* HTML:
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* "Plain html":"http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project1/html/Project1.html"
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* "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project1/html/Project1-bs.html"
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* Jupyter notebook:
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* "ipynb file": "http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project1/ipynb/Project1.ipynb"
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=== Project 2, Deadline November 15 (available October 12) ===
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* LaTeX and PDF:
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* "Latex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project2/pdf/Project2.tex"
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* "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project2/pdf/Project2.pdf"
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* HTML:
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* "Plain html":"http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project2/html/Project2.html"
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* "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project2/html/Project2-bs.html"
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* Jupyter notebook:
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* "ipynb file": "http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project2/ipynb/Project2.ipynb"
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=== Project 3, Deadline December 13 (available November 12) ===
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* LaTeX and PDF:
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* "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project3/pdf/Project3.tex"
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* "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project3/pdf/Project3.pdf"
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* HTML:
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* "Plain html":"http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project3/html/Project3.html"
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* "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project3/html/Project3-bs.html"
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* Jupyter notebook:
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* "ipynb file": "http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project3/ipynb/Project3.ipynb"
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