- Supervised Learning
- Linear regression, logistic regression, neural networks, 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
- Priority in developing algorithms
- Evaluation of learning algorithms
- Learning curves
- Error, ceiling analysis