Bayesian Reasoning and Gaussian Processes for Machine Learning Applications
Author: K Hemachandran，Shubham Tayal，Preetha Mary George，Parveen Singla，Utku Kose (Editor)
Publisher finelybook 出版社: Chapman & Hall (April 14, 2022)
Language 语言: English
Print Length 页数: 133 pages
ISBN-10: 0367758474
ISBN-13: 9780367758479
Book Description
By finelybook
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 Author: 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.
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Bayesian Reasoning and Gaussian Processes for Machine Learning Applications 9780367758479.zip
