* "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project1/html/Project1-bs.html"
=== Project 2, Deadline November 4 (avaliable September 23) ===
=== Project 2, Deadline November 4 (avaliable September 30) ===
===== Python and Scikit Learn, a short guide =====
* HTML format only:
* "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/ComputationalPhysics/doc/pub/learningpython/html/learningpython-bs.html"
!split
===== Teach yourself C++ =====
* HTML format only:
* "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/ComputationalPhysics/doc/pub/learningcpp/html/learningcpp-bs.html"
!split
===== Projects and Exercises Fall 2019 =====
=== First homework set, week 35 ===
=== First homework set, week 35 (Available August 20) ===
* "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project1/html/Project1-bs.html"
=== Project 2, Deadline November 4 ===
=== Project 2, Deadline November 4 (avaliable September 23) ===
* "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project2/html/Project2-bs.html"
=== Project 3, Deadline December 13 ===
=== Project 3, Deadline December 13 (available October 28) ===
* HTF: "Trevor Hastie, Robert Tibshirani, Jerome H. Friedman, The Elements of Statistical Learning, Springer":"https://www.springer.com/gp/book/9780387848570"
* AG: "Aurelien Geron, Hands‑On Machine Learning with Scikit‑Learn and TensorFlow, O'Reilly":"http://shop.oreilly.com/product/0636920052289.do"
| Week 35 | Regression analysis | Exercises TBD | HTF chapter 3 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Regression/html/Regression-bs.html"| Introduction to Git, GitHub and Python software, Python technicalities and work on exercises|
| Week 36 | Regression analysis and nearest neighbors| Exercises TBD | HTF chapters 3, 4 and 13 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Regression/html/Regression-bs.html" | Work on exercises|
| Week 37 | Classification and logistic regression | "Presentation of Project 1, deadline October 1":"https://compphysics.github.io/MachineLearning/doc/Projects/2019/Project1/html/Project1-bs.html" | HTF chapter 4 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/Regression/html/Regression-bs.html" | Work on project 1|
| Week 43 | Dimensionality reduction and support vector machines | Project 2 | HTF chapters 3 and 12 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/NeuralNet/html/NeuralNet-bs.html" | Work on project 2 |
| Week 44 | SVM and tree and forest models | Project 2 | HTF chapter 9 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/NeuralNet/html/NeuralNet-bs.html" | Work on project 2 |
| Week 45 | SVM and tree and forest models | Presentation and discussion of project 3 | HTF chapter 14 and "lecture notes":"https://compphysics.github.io/MachineLearning/doc/pub/BM/html/BM-bs.html" | Deadline project 2 November 12 |
@@ -330,7 +330,7 @@ formulas in HTML or ipython notebook files.
* "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project1/html/Project1-bs.html"
=== Project 2, Deadline November 4 (avaliable September 23) ===
=== Project 2, Deadline November 4 (avaliable September 30) ===
* "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2019/Project1/html/Project1-bs.html"
=== Project 2, Deadline November 4 (avaliable September 23) ===
=== Project 2, Deadline November 4 (avaliable September 30) ===
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