Morten Hjorth-Jensen
104 lines
5.2 KiB
Plaintext
104 lines
5.2 KiB
Plaintext
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
|
|
|
|
<%
|
|
pub_url = 'https://compphysics.github.io/MachineLearning/doc/pub'
|
|
published = ['week34', 'week35', 'week36', 'week37', 'week38', 'week39', 'week40', 'week41', 'week42', 'week43', 'week44', 'week45', 'week46', 'week47', ]
|
|
chapters = {
|
|
'week34': 'Week 34 August 21-25:Basic introduction to the course with schedule etc and start Linear Regression',
|
|
'week35': 'Week 35 August 28- September 1: Linear regression, from ordinary Least Squares to Ridge and Lasso Regression, Elements of Statistics',
|
|
'week36': 'Week 36 September 4-8: Statistical analysis and discussion of Ridge and Lasso regression',
|
|
'week37': 'Week 37 September 11-15: Resampling techniques, Cross-validation and the Bootstrap',
|
|
'week38': 'Week 38 September 18-22: Summary of linear regression methods and start Logistic Regression',
|
|
'week39': 'Week 39 September 25-29: Logistic Regression and Gradient methods',
|
|
'week40': 'Week 40 October 2-6: Stochastic Gradient Descent',
|
|
'week41': 'Week 41 October 9-13: Neural Networks, starting to build a multi-layer Perceptron model, the Back Propagation algoritm',
|
|
'week42': 'Week 42 October 16-20: Building a multi-layer perceptron code and introduction to Tensorflow',
|
|
'week43': 'Week 43 October 23-27: Deep learning, Solving Differential Equations with NNs and Convolutional Neural Networks)',
|
|
'week44': 'Week 44 October 30- November 3: Convolutional Neural Networks',
|
|
'week45': 'Week 45 November 6-10: Convolutional neural networks and Recurrent neural networks',
|
|
'week46': 'Week 46 November 13-17: Support Vector Machines',
|
|
'week47': 'Week 47 November 20-24: Support Vector Machines and unsupervised learning and Summary of Course with Future Perspectives',
|
|
|
|
}
|
|
%>
|
|
|
|
|
|
|
|
|
|
|
|
<%def name="text_types(name)">
|
|
|
|
* HTML:
|
|
* "Plain html": "${pub_url}/${name}/html/${name}.html"
|
|
* "reveal.js beige slide style": "${pub_url}/${name}/html/${name}-reveal.html"
|
|
* "Bootstrap slide style, easy for reading on mobile devices": "${pub_url}/${name}/html/${name}-bs.html"
|
|
* Jupyter notebook:
|
|
* "ipynb file": "${pub_url}/${name}/ipynb/${name}.ipynb"
|
|
</%def>
|
|
|
|
<%def name="slide_types(name)">
|
|
</%def>
|
|
|
|
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.
|
|
|
|
|
|
|
|
% for ch in published:
|
|
===== ${chapters[ch]} =====
|
|
|
|
${text_types(ch)}
|
|
|
|
% endfor
|
|
|
|
!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"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|