Machine Learning by Andrew Ng, Coursera
Chapter 1 - Linear Regression
Chapter 2 - Gradient Descent
Chapter 3 - Logistic Regression
Chapter 4 - Neural Network
Chapter 5 - Back Propagation
Chapter 6 - Practical Advices
Chapter 7 - Support Vector Machine
Chapter 8 - K-means, PCA Details
Chapter 9 - Anomaly Detection, Recommender System
Chapter 10 - Stochastic Gradient, Synthetic Data, Ceiling Analysis
Process Mining by Wil Van der Alast, Coursera
Week 1 - Process Mining Intro
Week 2 - Alpha Algorithm
Week 3 - Metric, C-nets
Week 4 - Conformance Checking, Dotted Chart
Week 5 - Decision, Social, Organization Mining