Machine Learning
- The curse of dimensionality
- Linear Regression: Tricks and Use Cases
- Trees in Machine Learning: Random Forests and Gradient Boosted Decision Trees
- Logistic Regression and Maximum Entropy Models
- Support Vector Machines: Connection to Other Algorithms and Efficient Computation
- Cheap Machine Learning Based On Tricks With Randomness
- Sparse Models
- Unbalanced data
- Learning from unlabeled data
- Nearest neighbor: when to apply and how
- Latent Variable Models
- Hashing
- Good courses for Machine Learning