Published by Oxford University Press, 2022
ISBN 10: 0198864744 ISBN 13: 9780198864745
Language: English
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Published by Oxford University Press, 2022
ISBN 10: 0198864744 ISBN 13: 9780198864745
Language: English
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Published by Oxford University Press, 2022
ISBN 10: 0198864744 ISBN 13: 9780198864745
Language: English
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Published by Oxford University Press, 2022
ISBN 10: 0198864744 ISBN 13: 9780198864745
Language: English
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Published by Oxford University Press, 2022
ISBN 10: 0198864744 ISBN 13: 9780198864745
Language: English
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Published by Oxford University Press, 2022
ISBN 10: 0198864744 ISBN 13: 9780198864745
Language: English
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Published by Oxford University Press, 2022
ISBN 10: 0198864744 ISBN 13: 9780198864745
Language: English
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Published by Oxford University Press, 2022
ISBN 10: 0198864744 ISBN 13: 9780198864745
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Oxford University Press, 2022
ISBN 10: 0198864744 ISBN 13: 9780198864745
Language: English
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Published by Oxford University Press, 2022
ISBN 10: 0198864744 ISBN 13: 9780198864745
Language: English
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Published by Oxford University Press, 2022
ISBN 10: 0198864744 ISBN 13: 9780198864745
Language: English
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Add to basketHardcover. Condition: Brand New. 192 pages. 10.25x7.00x0.50 inches. In Stock.
Published by Oxford University Press, Oxford, 2022
ISBN 10: 0198864744 ISBN 13: 9780198864745
Language: English
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First Edition
Hardcover. Condition: new. Hardcover. The study of most scientific fields now relies on an ever-increasing amount of data, due to instrumental and experimental progress in monitoring and manipulating complex systems made of many microscopic constituents. How can we make sense of such data, and use them to enhance our understanding of biological, physical, and chemical systems?Aimed at graduate students in physics, applied mathematics, and computational biology, the primary objective of this textbook is to introduce the concepts and methods necessary to answer this question at the intersection of probability theory, statistics, optimisation, statistical physics, inference, and machine learning.The second objective of this book is to provide practical applications for these methods, which will allow students to assimilate the underlying ideas and techniques. While readers of this textbook will need basic knowledge in programming (Python or an equivalent language), the main emphasis is not on mathematical rigour, but on the development of intuition and the deep connections with statistical physics. Aimed at graduate students, this textbook examines the importance of data analysis to understanding biological, physical, and chemical systems, and outlines its practical applications at the intersection of probability theory, statistics, optimisation, statistical physics, inference, and machine learning. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Oxford University Press, 2022
ISBN 10: 0198864744 ISBN 13: 9780198864745
Language: English
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Published by Oxford University Press, 2022
ISBN 10: 0198864744 ISBN 13: 9780198864745
Language: English
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Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketHardcover. Condition: Brand New. 192 pages. 10.25x7.00x0.50 inches. In Stock.
Published by Oxford University Press Dez 2022, 2022
ISBN 10: 0198864744 ISBN 13: 9780198864745
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Neuware - Aimed at graduate students, this textbook examines the importance of data analysis to understanding biological, physical, and chemical systems, and outlines its practical applications at the intersection of probability theory, statistics, optimisation, statistical physics, inference, and machine learning.