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FYS-STK4155/doc/web/tmp_mako__course.do.txt
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2020-09-16 12:07:25 +02:00

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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 (office FV308), 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 17-21: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 24-28: Linear regression and review of statistics and probability theory =====
* 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 August 31- September 4: Resampling techniques, Cross-validation and Bootstrap and start discussion of Ridge 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 7-11: Ridge and Lasso Regression =====
* 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 14-18: 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 21-25: Logistic Regression and Gradient methods. Start Neural Networks =====
* 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 September 28 - October 2: Neural Networks, building a multi-layer Perceptron model =====
* 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 5-9: Introduction to Tensorflow and deep learning (Convolutional Neural Networks and Recurrent Neural Networks) =====
* 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 12-16: Deep learning (Convolutional Neural Networks and Recurrent Neural Networks =====
* 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 19-23: Dimesionality Reduction, Principal Component analysis =====
* 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 26-30: Decision Trees and Bagging =====
* 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 2-6: Random Forests and Gradient Boosting =====
* 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 9-13: Support Vector Machines =====
* 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 16-20: Support Vector Machines =====
* 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"
===== Week 48 November 23-27: Unsupervised learning, clustering and summary of course =====
* HTML:
* "Plain html": "https://compphysics.github.io/MachineLearning/doc/pub/week48/html/week48.html"
* "reveal.js beige slide style": "https://compphysics.github.io/MachineLearning/doc/pub/week48/html/week48-reveal.html"
* "Bootstrap slide style, easy for reading on mobile devices": "https://compphysics.github.io/MachineLearning/doc/pub/week48/html/week48-bs.html"
* Jupyter notebook:
* "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week48/ipynb/week48.ipynb"
!split
===== Textbook =====
* PDF-file:
* "PDF file":"http://compphysics.github.io/MachineLearning/doc/LectureNotes/pdf/book.pdf"
* Jupyter notebook:
* "ipynb file": "http://compphysics.github.io/MachineLearning/doc/LectureNotes/ipynb/book.ipynb"
!split
===== Projects and Exercises Fall 2020 =====
=== First homework set, week 35 ===
* LaTeX and PDF:
* "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2020/hw1/pdf/hw1.tex"
* "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2020/hw1/pdf/hw1.pdf"
* HTML:
* "Plain html":"http://compphysics.github.io/MachineLearning/doc/Projects/2020/hw1/html/hw1.html"
* "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2020/hw1/html/hw1-bs.html"
=== Second homework set, week 36 ===
* LaTeX and PDF:
* "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2020/hw2/pdf/hw2.tex"
* "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2020/hw2/pdf/hw2.pdf"
* HTML:
* "Plain html":"http://compphysics.github.io/MachineLearning/doc/Projects/2020/hw2/html/hw2.html"
* "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2020/hw2/html/hw2-bs.html"
=== Project 1, Deadline October 5 (available September 1) ===
* LaTeX and PDF:
* "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2020/Project1/pdf/Project1.tex"
* "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2020/Project1/pdf/Project1.pdf"
* HTML:
* "Plain html":"http://compphysics.github.io/MachineLearning/doc/Projects/2020/Project1/html/Project1.html"
* "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2020/Project1/html/Project1-bs.html"
* Jupyter notebook:
* "ipynb file": "http://compphysics.github.io/MachineLearning/doc/Projects/2020/Project1/ipynb/Project1.ipynb"
=== Project 2, Deadline November 2 (available September 28) ===
* LaTeX and PDF:
* "Latex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2020/Project2/pdf/Project2.tex"
* "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2020/Project2/pdf/Project2.pdf"
* HTML:
* "Plain html":"http://compphysics.github.io/MachineLearning/doc/Projects/2020/Project2/html/Project2.html"
* "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2020/Project2/html/Project2-bs.html"
* Jupyter notebook:
* "ipynb file": "http://compphysics.github.io/MachineLearning/doc/Projects/2020/Project2/ipynb/Project2.ipynb"
=== Project 3, Deadline December 7 (available November 2) ===
* LaTeX and PDF:
* "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2020/Project3/pdf/Project3.tex"
* "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2020/Project3/pdf/Project3.pdf"
* HTML:
* "Plain html":"http://compphysics.github.io/MachineLearning/doc/Projects/2020/Project3/html/Project3.html"
* "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2020/Project3/html/Project3-bs.html"
* Jupyter notebook:
* "ipynb file": "http://compphysics.github.io/MachineLearning/doc/Projects/2020/Project3/ipynb/Project3.ipynb"