Published by Cambridge University Press, 2016
ISBN 10: 1107149894 ISBN 13: 9781107149892
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Published by Cambridge University Press (edition Student), 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
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Published by Cambridge University Press (edition 1), 2016
ISBN 10: 1107149894 ISBN 13: 9781107149892
Language: English
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Published by Cambridge University Press, 2016
ISBN 10: 1107149894 ISBN 13: 9781107149892
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Published by Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
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Published by Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
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Published by Cambridge University Press, 2021
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Published by Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
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Published by Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Language: English
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Published by Cambridge University Press, Cambridge, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Language: English
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Paperback. Condition: new. Paperback. The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and influence. 'Data science' and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? How does it all fit together? Now in paperback and fortified with exercises, this book delivers a concentrated course in modern statistical thinking. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov Chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. Each chapter ends with class-tested exercises, and the book concludes with speculation on the future direction of statistics and data science. Computing power has revolutionized the theory and practice of statistical inference. Now in paperback, and fortified with 130 class-tested exercises, this book explains modern statistical thinking from classical theories to state-of-the-art prediction algorithms. Anyone who applies statistical methods to data will value this landmark text. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
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Published by Cambridge University Press, GB, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Language: English
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Paperback. Condition: New. The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and influence. 'Data science' and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? How does it all fit together? Now in paperback and fortified with exercises, this book delivers a concentrated course in modern statistical thinking. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov Chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. Each chapter ends with class-tested exercises, and the book concludes with speculation on the future direction of statistics and data science.
Published by Cambridge University Pr. Jun 2021, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
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Add to basketTaschenbuch. Condition: Neu. Neuware -Now in paperback and fortified with exercises, this brilliant, enjoyable text demystifies data science, statistics and machine learning.
Published by Cambridge University Pr. Jun 2021, 2021
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Add to basketTaschenbuch. Condition: Neu. Neuware -The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and influence. 'Data science' and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here And where are we going How does it all fit together Now in paperback and fortified with exercises, this book delivers a concentrated course in modern statistical thinking. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov Chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. Each chapter ends with class-tested exercises, and the book concludes with speculation on the future direction of statistics and data science. 491 pp. Englisch.
Published by Cambridge University Pr. Jun 2021, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
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Add to basketTaschenbuch. Condition: Neu. Neuware -The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and influence. 'Data science' and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here And where are we going How does it all fit together Now in paperback and fortified with exercises, this book delivers a concentrated course in modern statistical thinking. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov Chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. Each chapter ends with class-tested exercises, and the book concludes with speculation on the future direction of statistics and data science. 491 pp. Englisch.
Published by Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
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Published by Cambridge University Press, 2021
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Published by Cambridge University Press, 2016
ISBN 10: 1107149894 ISBN 13: 9781107149892
Language: English
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Published by Cambridge University Press, 2021
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Language: English
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Published by Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
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Published by Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Language: English
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Published by Cambridge University Pr. Jun 2021, 2021
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Add to basketTaschenbuch. Condition: Neu. Neuware - The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and influence. 'Data science' and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here And where are we going How does it all fit together Now in paperback and fortified with exercises, this book delivers a concentrated course in modern statistical thinking. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov Chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. Each chapter ends with class-tested exercises, and the book concludes with speculation on the future direction of statistics and data science.
Published by Cambridge University Press CUP, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
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Published by Cambridge University Press, 2021
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Add to basketKartoniert / Broschiert. Condition: New. Computing power has revolutionized the theory and practice of statistical inference. Now in paperback, and fortified with 130 class-tested exercises, this book explains modern statistical thinking from classical theories to state-of-the-art prediction algor.
Published by Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
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Paperback. Condition: Brand New. student edition. 510 pages. 8.75x5.75x1.00 inches. In Stock.
Published by Cambridge University Press, 2016
ISBN 10: 1107149894 ISBN 13: 9781107149892
Language: English
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Published by Cambridge University Press, 2016
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Language: English
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