Machine Learning Cheat Sheet - Introduction

This is a summary of my notes taken on Machine Learning course that I completed on Coursera. It was taught by Professor Andrew Ng, Associate Professor at Stanford University, Chief Scientist at Baidu and Chairman/Co-founder at Coursera. The notes include main math formulas and some practical tips mentioned during the course. Covered topics are:

1. Supervised and unsupervised machine learning
2. Linear regression with one variable
3. Linear regression with multiple variables
4. Polynomial regression and Normal Equation
5. Logistic regression (Classification)
6. (to be continued - work in progress)