Bayesian reasoning and Gaussian processes for machine learning applications
by George, Preetha Mary K., Hemachandran Kose, Utku Singla, Parveen Tayal, Shubham
"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 di…
Read More ↓Title Statements
- Full title :Bayesian reasoning and Gaussian processes for machine learning applications / edited by Hemachandran K., Shubham Tayal, Preetha Mary George, Parveen Singla, Utku Kose.
Summary
"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"
Read More ↓Edition Statements
- Publication Date:2022
- Edition:First edition
Publication Statements
- Publisher(s):CRC Press, Taylor & Francis Group
- Place of Publication:Boca Raton
- Language:eng
- Publication Date:2022
Notes
Includes bibliographical references and index.
The Physical Object
- Description:pages cm
Edition Identifiers
- ISBN:9780367758479, 0367758474, 9780367758493, 0367758490
- oclc:on1368022675
- LC Classification:QA279.5
- Dewey Decimal:006.3/101519542
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