https://www.youtube.com/watch?v=IpGxLWOIZy4

A friendly introduction to the main algorithms of Machine Learning with examples. No previous knowledge required.

What is Machine Learning: (0:05) Linear Regression: (2:25) Gradient Descent: (4:10) Naive Bayes: (6:20) Decision Trees: (10:35) Logistic Regression: (13:20) Neural networks: (17:00) Support Vector Machines: (18:50) Kernel trick: (20:05) K-Means clustering: (26:00) Hierarchical Clustering: (28:30) Summary: (29:40)