Bayesian Reasoning and Gaussian Processes for Machine Learning Applications Hardback
Edited by Hemachandran (AIET Hyderabad) K, Shubham (University of Petroleum and Energy Studies, India) Tayal, Preetha Mary (MGR Uni., Chennai) George, Parveen Singla, Utku Kose
Hardback
Description
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 studiesThis book is aimed at graduates, researchers, and professionals in the field of data science and machine learning.
Information
-
Only a few left - usually despatched within 24 hours
- Format:Hardback
- Pages:133 pages, 13 Tables, black and white; 50 Line drawings, black and white; 12 Halftones, black and wh
- Publisher:Taylor & Francis Ltd
- Publication Date:14/04/2022
- Category:
- ISBN:9780367758479
Information
-
Only a few left - usually despatched within 24 hours
- Format:Hardback
- Pages:133 pages, 13 Tables, black and white; 50 Line drawings, black and white; 12 Halftones, black and wh
- Publisher:Taylor & Francis Ltd
- Publication Date:14/04/2022
- Category:
- ISBN:9780367758479
