Machine learning
Online class by Andrew Ng, Stanford University.
Class wiki: link.
Class content:
- Week 1: Introduction, Cost function, Gradient descent, Linear algebra
- Week 2: Linear Regression with Multiple Variables
- Week 3: Classification (logistic regression), Regularization
- Week 4: Neural networks: feedforward propagation
- Week 5: Neural networks: backpropagation
- Week 6: Advice for Applying Machine Learning
- Week 7: Support Vector Machines
- Week 8: Unsupervised Learning
- Week 9: Anomaly Detection
- Week 10: Large Scale Machine Learning
- Week 11:
License
CC0 1.0 Universal (public domain).