Language: English
Published by Cambridge University Press, 2016
ISBN 10: 1107149894 ISBN 13: 9781107149892
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Language: English
Published by Cambridge University Press, 2016
ISBN 10: 1107149894 ISBN 13: 9781107149892
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Language: English
Published by Cambridge University Press, 2016
ISBN 10: 1107149894 ISBN 13: 9781107149892
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Language: English
Published by Cambridge University Press (edition 1), 2016
ISBN 10: 1107149894 ISBN 13: 9781107149892
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Language: English
Published by Cambridge University Press, 2016
ISBN 10: 1107149894 ISBN 13: 9781107149892
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paperback. Condition: VeryGood. A copy that may have been read, very minimal wear and tear. May have a remainder mark.
Language: English
Published by Cambridge University Press (edition 1), 2016
ISBN 10: 1107149894 ISBN 13: 9781107149892
Seller: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condition: Good. 1. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
Language: English
Published by Cambridge University Press (edition 1), 2016
ISBN 10: 1107149894 ISBN 13: 9781107149892
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Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
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Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
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paperback. Condition: Good. Student. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
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paperback. Condition: Very Good.
Language: English
Published by Cambridge University Press September 2016, 2016
ISBN 10: 1107149894 ISBN 13: 9781107149892
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Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
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Language: English
Published by Cambridge University Press 6/17/2021, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
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Paperback or Softback. Condition: New. Computer Age Statistical Inference, Student Edition: Algorithms, Evidence, and Data Science. Book.
Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
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Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
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Language: English
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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Language: English
Published by Cambridge University Press 2021-06-17, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
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Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
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Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
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Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
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Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
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Language: English
Published by Cambridge University Pr. Jun 2021, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Seller: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Germany
Taschenbuch. 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.
Language: English
Published by Cambridge University Pr. Jun 2021, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. 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.
Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New.
Language: English
Published by Cambridge University Press, 2016
ISBN 10: 1107149894 ISBN 13: 9781107149892
Seller: GoldBooks, Denver, CO, U.S.A.
Condition: new.
Language: English
Published by Cambridge University Pr. Jun 2021, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Seller: Wegmann1855, Zwiesel, Germany
Taschenbuch. Condition: Neu. Neuware -Now in paperback and fortified with exercises, this brilliant, enjoyable text demystifies data science, statistics and machine learning.
Language: English
Published by Cambridge University Press, United Kingdom, Cambridge, 2016
ISBN 10: 1107149894 ISBN 13: 9781107149892
Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
Paperback. Condition: Very Good. The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', '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? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. 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. The book ends with speculation on the future direction of statistics and data science. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Seller: Kennys Bookstore, Olney, MD, U.S.A.
Condition: New. 2021. Student. Paperback. . . . . . Books ship from the US and Ireland.