Stanford-ML-Course

Stanford Machine Learning Course created by Andrew Ng.

Summary: Main Topics

Supervised Learning

• Linear Regression, Logistic Regression, Neural Netwoks, SVMs

Unsupervised Learning

• K-means, PCA, Anomaly detection

Special applications/topics

• Recommender systems, large scale machine learning

Advice on building a machine learning system

• Bias/Variance, regularization, error analysis, learning curves.