Learning (Data Science
- Supervised Learning (xi,yi) - Linear regression, Logistic regression, Neural Networks, SVMs.
- Unsupervised Learning (xi) - K means, PCA, Anomaly detection.
- Special Applications - Recommender systems, Large scale ML.
- Advice on building ML systems - Bias/Variance, Regularization, Deciding what to work on next (evaluation of learning algorithms, learning curves, error analysis, ceiling analysis).