Summarize

Summarize:

Supervised Learning:

• Linear Regression
• Logistic Regression
• Neural Networks
• SVMs

Unsupervised Learning

• K-means
• PCA
• Anomaly Detection

Special application/Special topics

• Recommender Systens
• Large Scale Machine Learning

Advice on building a machine learning system

• Bias/Variance
• Regularization
• Deciding what to work on next
• Evaluation of learning algorithms
• Learning Curves
• Error Analysis
• Ceiling Analysis