Faithin Omaha eBook Collection

Bayesian methods for machine learning have been widely investigated, yielding principled methods for incorporating prior information into inference algorithms.

A practical introduction perfect for final-year undergraduate and graduate students without a solid background in linear algebra and calculus.

This book introduces Bayesian reasoning and Gaussian processes into machine learning applications. Bayesian methods are applied in many areas, such as game deve

Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding

This book examines Gaussian processes in both model-based reinforcement learning (RL) and inference in nonlinear dynamic systems.First, we introduce PILCO, a fu