New MEAP! The breakthrough algorithms that power modern AI and data analysis have been long established—in fact, you could even call them timeless! From Bayes’ prior and posterior beliefs, to Fisher’s estimation and likelihood, Shannon’s information gain, and Breiman’s algorithmic modeling, understanding how these algorithms work will help make you a better data and machine learning professional. This book introduces these vital algorithms and explores the academic papers that introduced and defined them.

Plus, the same offer also applies to Sutskever's List and Grokking AI Algorithms, Second Edition.