Machine Learning Algorithms in Depth dives into the design and underlying principles of some of the most exciting machine learning (ML) algorithms in the world today. With a particular emphasis on probability-based algorithms, you will learn the fundamentals of Bayesian inference and deep learning. Publisher: Manning Publications Author(s): Vadim Smolyakov Number of pages: 328 Publication date: 2024 Dimensions: 235 x 189 x 23 Cover type: Hardback