Resources for CS 229 - Machine Learning


Cheatsheet

Illustration Supervised Learning
Results about linear models, generative learning, support vector machines and kernel methods		 August 2018
Illustration Unsupervised Learning
Formulas about clustering methods and dimensionality reduction		 August 2018
Illustration Deep Learning
Main concepts around neural networks, backpropagation and reinforcement learning		 August 2018
Illustration Tips and tricks
Good habits and sanity checks to make sure that your model is trained the right way		 August 2018

Coding

Matlab
Illustration Getting started
Main features and good practices to adopt		 August 2018

Refresher

Illustration Probabilities and Statistics
Formulas about combinatorics, random variables, main probability distributions, and parameter estimation		 August 2018
Illustration Linear Algebra and Calculus
Matrix-vector notations as well as algebra and calculus properties		 August 2018