Faithin Omaha eBook Collection

There is a wealth of literature and books available to engineers starting to understand what machine learning is and how it can be used in their everyday work.

This self-contained introduction contains all students need to start applying machine learning principles to real-world engineering problems.

"This book introduces machine learning for readers with some background in basic linear algebra, statistics, probability, and programming. In a coherent statist

Introduction -- Supervised learning -- Bayesian decision theory -- Parametric methods -- Multivariate methods -- Dimensionality reduction -- Clustering -- Nonpa

The most comprehensive book on the engineering aspects of building reliable AI systems. "If you intend to use machine learning to solve business problems at sca