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Bayesian Reasoning and Gaussian Processes for Machine Learning Applications
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Bayesian Reasoning and Gaussian Processes for Machine Learning Applications

Book Details

Format Hardback or Cased Book
ISBN-10 0367758474
ISBN-13 9780367758479
Publisher Taylor & Francis Ltd
Imprint Chapman & Hall/CRC
Country of Manufacture GB
Country of Publication GB
Publication Date Apr 14th, 2022
Print length 133 Pages
Weight 450 grams
Dimensions 26.10 x 18.30 x 1.70 cms
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The book talks about Bayesian Reasoning and Gaussian Processes in machine learning applications. It contains recent advancement in machine learning and highlights the applications of machine learning algorithms. This book is primarily aimed at graduates, researchers and professionals in the field of data science and machine learning.

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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