Machine Learning Algorithms – Data scientist may be the sexiest job of ...

Exploration and exploitation. Markov decision processes. Q-learning, policy learning, and deep ...

Where, why, and how deep neural networks work. Drawing inspiration from ...

Clustering and dimensionality reduction: k-means clustering, hierarchical clustering, principal component analysis ...

Non-parametric models: k-nearest neighbors, decision trees, and random forests. Introducing cross-validation, ...

Classification with logistic regression and support vector machines (SVMs). This series ...

The two tasks of supervised learning: regression and classification. Linear regression, ...

Simple, plain-English explanations accompanied by math, code, and real-world examples. Roadmap ...

A compendium of resources for crafting a curriculum on artificial intelligence, ...