Cheatsheet for CS-433 (Machine Learning).
- Regression
- Optimisation
- Least Squares
- Regularization
- Model Selection
- Classification
- Unsupervised Learning
- Matrix Factorisation
- SVD + PCA
- Neural Nets
- Graphical Models*
* Except for Factor Graphs. Feel free to add it but I'm skipping ...
[17/01/2018 - 13:18] : Final version is 1335d72. Good luck for the exam !
If you're taking this class and feel like there is a mistake or would like to add something, feel free to create an issue or even create a pull request if you can fix it !
Please restrict this to personal usage only. Content is provided by the MLO lab in the form of the class, I am just transcribing this stuff.
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Thanks to Tim for the awesome LaTeX template ! StackOverflow answer
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Thanks to the people who contributed !
Is it in
11 pt?
Yes, it has been enforced.
Why "Quick maff" ?