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

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

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

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

The first unified treatment of time series modelling techniques spanning machine learning, statistics, engineering and computer science.