Bayesian Reasoning and Gaussian Processes for Machine Learning Applications
商品資訊
ISBN13：9780367758479
出版社：PBKTYFRL
作者：K; Hemachandran (AIET Hyderabad); Tayal; Shubham (University of Petroleum and Energy Studies; India); George; Preetha Mary (MGR Uni.; Chennai); Singla; Parveen; Kose; Utku
出版日：2022/04/14
裝訂／頁數：精裝／144頁
規格：17.8cm*25.4cm (高/寬)
商品簡介
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.
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