Bayesian Reasoning and Gaussian Processes for Machine Learning Applications

Synopsis

This book introduces Bayesian reasoning and Gaussian processes into 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 in handling missing data and extracting information from small datasets. Bayesian Reasoning and Gaussian Processes for Machine Learning Applications uses a statistical background to understand continuous distributions and how learning can be viewed from a probabilistic framework. The chapters progress into such machine learning topics as belief network and Bayesian reinforcement learning, which is followed by Gaussian process introduction, classification, regression, covariance, and performance analysis of Gaussian processes with other models. FEATURES Contains recent advancements in machine learning Highlights applications of machine learning algorithms Offers both quantitative and qualitative research Includes numerous case studies This book is aimed at graduates, researchers, and professionals in the field of data science and machine learning.

Copyright:

2022

Book Details

Book Quality:

Publisher Quality

Book Size:

133 Pages

ISBN-13:

9781000569599

Related ISBNs:

9780367758479, 9781003164265, 9780367758493

Publisher:

CRC Press

Date of Addition:

04/14/22

Copyrighted By:

selection and editorial matter, Hemachandran K, Shubham Tayal, Preetha Mary George, Praveen Singla and Utku Kose

Adult content:

No

Language:

English

Has Image Descriptions:

No

Categories:

Nonfiction, Computers and Internet, Business and Finance, Mathematics and Statistics

Submitted By:

Bookshare Staff

Usage Restrictions:

This is a copyrighted book.

Edited by:

Hemachandran K

Edited by:

Shubham Tayal

Edited by:

Preetha Mary George

Edited by:

Parveen Singla

Edited by:

Utku Kose