Publicado por Cambridge University Press, 2016
ISBN 10: 1107149894 ISBN 13: 9781107149892
Idioma: Inglés
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Añadir al carritoHardcover. Condición: Bon. Ancien livre de bibliothèque avec équipements. Couverture différente. Edition 2016. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Different cover. Edition 2016. Ammareal gives back up to 15% of this item's net price to charity organizations.
Publicado por Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Idioma: Inglés
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Añadir al carritopaperback. Condición: Very Good.
Publicado por Cambridge University Press, 2016
ISBN 10: 1107149894 ISBN 13: 9781107149892
Idioma: Inglés
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Publicado por Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Idioma: Inglés
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Publicado por Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Idioma: Inglés
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Publicado por Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Idioma: Inglés
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Publicado por Cambridge University Press, 2016
ISBN 10: 1107149894 ISBN 13: 9781107149892
Idioma: Inglés
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Añadir al carritoCondición: Good. This book has been examined carefully and the cover shows some wear. There may be light highlighting or writing with small bends or creases. hardcoverUsed - Good2016.
Publicado por Cambridge University Press, 2016
ISBN 10: 1107149894 ISBN 13: 9781107149892
Idioma: Inglés
Librería: Studibuch, Stuttgart, Alemania
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Añadir al carritohardcover. Condición: Sehr gut. 495 Seiten; 9781107149892.2 Gewicht in Gramm: 2.
Publicado por Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Idioma: Inglés
Librería: Speedyhen, London, Reino Unido
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Publicado por Cambridge University Press
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Añadir al carritopaperback. Condición: VeryGood. A copy that may have been read, very minimal wear and tear. May have a remainder mark.
Publicado por Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Idioma: Inglés
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Publicado por Cambridge University Press, 2016
ISBN 10: 1107149894 ISBN 13: 9781107149892
Idioma: Inglés
Librería: SecondSale, Montgomery, IL, Estados Unidos de America
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Añadir al carritoPaperback. Condición: Brand New. student edition. 510 pages. 8.75x5.75x1.00 inches. In Stock.
Publicado por Cambridge University Press, GB, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Idioma: Inglés
Librería: Rarewaves.com UK, London, Reino Unido
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Añadir al carritoPaperback. Condición: 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.
Publicado por Cambridge University Pr. Jun 2021, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Idioma: Inglés
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoTaschenbuch. Condición: 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.
Publicado por Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Idioma: Inglés
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Añadir al carritoCondición: New. 2021. Student. Paperback. . . . . .
Publicado por Cambridge University Pr. Jun 2021, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Idioma: Inglés
Librería: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Alemania
EUR 40,00
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Añadir al carritoTaschenbuch. Condición: 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.
Publicado por Cambridge University Pr. Jun 2021, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Idioma: Inglés
Librería: Wegmann1855, Zwiesel, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -Now in paperback and fortified with exercises, this brilliant, enjoyable text demystifies data science, statistics and machine learning.
Publicado por Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Idioma: Inglés
Librería: California Books, Miami, FL, Estados Unidos de America
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Publicado por Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Idioma: Inglés
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 37,11
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Publicado por Cambridge University Press, GB, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Idioma: Inglés
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 53,67
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Añadir al carritoPaperback. Condición: 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.
Publicado por Cambridge University Press 2021-06-30, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Idioma: Inglés
Librería: Chiron Media, Wallingford, Reino Unido
EUR 39,69
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Añadir al carritoPaperback. Condición: New.
Publicado por Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Idioma: Inglés
Librería: Majestic Books, Hounslow, Reino Unido
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Publicado por Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Idioma: Inglés
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Publicado por Cambridge University Pr. Jun 2021, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -Now in paperback and fortified with exercises, this brilliant, enjoyable text demystifies data science, statistics and machine learning.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 491 pp. Englisch.
Publicado por Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Idioma: Inglés
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 41,25
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Publicado por Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Idioma: Inglés
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 41,48
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Publicado por Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Idioma: Inglés
Librería: moluna, Greven, Alemania
EUR 38,56
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Añadir al carritoCondición: 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.
Publicado por Cambridge University Pr. Jun 2021, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 46,62
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Añadir al carritoTaschenbuch. Condición: 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.
Publicado por Cambridge University Press, 2021
ISBN 10: 1108823416 ISBN 13: 9781108823418
Idioma: Inglés
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 59,46
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Añadir al carritoCondición: New. 2021. Student. Paperback. . . . . . Books ship from the US and Ireland.