Bayesian reasoning and Gaussian processes for machine learning applications / edited by Hemachandran K, Shubham Tayal, Preetha Mary George, Parveen Singla, Utku Kose

Date : 2022

Type : Livre / Book

Langue / Language : anglais / English

ISBN : 978-0-367-75847-9

ISBN : 0-367-75847-4

ISBN : 978-0-367-75849-3

ISBN : 0-367-75849-0

EAN : 9780367758479

Processus gaussiens

Apprentissage machine

Théorème de Bayes

Classification Dewey : 006.3/101519542

K, Hemachandran (19..-) (Directeur de publication / publishing director)

Tayal, Shubham (19..-) (Directeur de publication / publishing director)

George, Preetha Mary (19..-) (Directeur de publication / publishing director)

Singla, Parveen (19..-) (Directeur de publication / publishing director)

Kose, Utku (Directeur de publication / publishing director)

Résumé / Abstract : "The book Bayesian Reasoning and Gaussian Processes for Machine Learning Applications talks about Bayesian Reasoning and Gaussian Processes in machine learning applications. Bayesian methods are applied in many areas such as game development, decision making and drug discovery. It is very effective for machine learning algorithms for handling missing data and for extracting information from small datasets. This book introduces a statistical background which is needed to understand continuous distributions and it gives an understanding on how learning can be viewed from a probabilistic framework. The chapters of the book progress into machine learning topics such as Belief Network, Bayesian Reinforcement Learning etc., which is followed by Gaussian Process Introduction, Classification, Regression, Covariance and Performance Analysis of GP with other models. This book is aimed primarily at graduates, researchers and professionals in the field of data science and machine learning"