Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367758474 ISBN 13: 9780367758479
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367758474 ISBN 13: 9780367758479
Language: English
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367758474 ISBN 13: 9780367758479
Language: English
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Published by Taylor & Francis Ltd, 2022
ISBN 10: 0367758474 ISBN 13: 9780367758479
Language: English
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367758474 ISBN 13: 9780367758479
Language: English
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367758474 ISBN 13: 9780367758479
Language: English
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367758474 ISBN 13: 9780367758479
Language: English
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367758474 ISBN 13: 9780367758479
Language: English
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367758474 ISBN 13: 9780367758479
Language: English
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367758474 ISBN 13: 9780367758479
Language: English
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367758474 ISBN 13: 9780367758479
Language: English
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367758474 ISBN 13: 9780367758479
Language: English
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First Edition
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Published by Taylor & Francis Ltd Apr 2022, 2022
ISBN 10: 0367758474 ISBN 13: 9780367758479
Language: English
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Add to basketBuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 learningHighlights applications of machine learning algorithmsOffers both quantitative and qualitative researchIncludes numerous case studiesThis book is aimed at graduates, researchers, and professionals in the field of data science and machine learning. 133 pp. Englisch.
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Add to basketHardcover. Condition: Brand New. 144 pages. 10.00x7.00x0.59 inches. In Stock. This item is printed on demand.
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Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 learningHighlights applications of machine learning algorithmsOffers both quantitative and qualitative researchIncludes numerous case studiesThis book is aimed at graduates, researchers, and professionals in the field of data science and machine learning.