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Verlag: Berlin ; Heidelberg : Springer, 2014
Anbieter: Roland Antiquariat UG haftungsbeschränkt, Weinheim, Deutschland
Buch
Softcover. 387 p. Very good condition. Reading pages are clean and without markings. Slight signs of storage and use. Name inscription on the cover. Otherwise a neat copy. Sprache: Englisch Gewicht in Gramm: 1000.
Verlag: Springer International Publishing, 2022
ISBN 10: 3030698297ISBN 13: 9783030698294
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics and data science. The topics covered include likelihood-based inference, Bayesian statistics, regression, statistical tests and the quantification of uncertainty. Moreover, the book addresses statistical ideas that are useful in modern data analytics, including bootstrapping, modeling of multivariate distributions, missing data analysis, causality as well as principles of experimental design. The textbook includes sufficient material for a two-semester course and is intended for master's students in data science, statistics and computer science with a rudimentary grasp of probability theory. It will also be useful for data science practitioners who want to strengthen their statistics skills.
Verlag: Springer International Publishing 2021-10-01, Berlin, 2021
ISBN 10: 3030698262ISBN 13: 9783030698263
Anbieter: Blackwell's, London, Vereinigtes Königreich
Buch
hardback. Zustand: New. Language: ENG.
Verlag: Springer International Publishing, 2021
ISBN 10: 3030698262ISBN 13: 9783030698263
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics and data science. The topics covered include likelihood-based inference, Bayesian statistics, regression, statistical tests and the quantification of uncertainty. Moreover, the book addresses statistical ideas that are useful in modern data analytics, including bootstrapping, modeling of multivariate distributions, missing data analysis, causality as well as principles of experimental design. The textbook includes sufficient material for a two-semester course and is intended for master's students in data science, statistics and computer science with a rudimentary grasp of probability theory. It will also be useful for data science practitioners who want to strengthen their statistics skills.
Verlag: Berlin ; Heidelberg : Springer, 2016
Anbieter: Roland Antiquariat UG haftungsbeschränkt, Weinheim, Deutschland
Buch
Softcover. 368 p. Very good condition. Reading pages are clean and without markings. Slight signs of storage and use. Otherwise a neat copy. Altersfreigabe FSK ab 0 Jahre Sprache: Englisch Gewicht in Gramm: 200.
Verlag: Berlin ; Heidelberg : Springer, 2011
Anbieter: Roland Antiquariat UG haftungsbeschränkt, Weinheim, Deutschland
Buch
Softcover. 111 p. Very good condition. Reading pages are clean and without markings. Spine edge slightly bumped. Binding slightly stained. Book corners slightly bumped. Slight signs of storage and use. Otherwise a neat copy. Sprache: Englisch Gewicht in Gramm: 200.
Verlag: Berlin ; Heidelberg : Springer, 2010
Anbieter: Roland Antiquariat UG haftungsbeschränkt, Weinheim, Deutschland
Buch
Softcover. 422 p. Very good condition. Reading pages are clean and without markings. Slight signs of storage and use. Spine edge slightly bumped. Book corners slightly bumped. Book edge slightly bumped. Otherwise a decent copy. Sprache: Englisch Gewicht in Gramm: 200.
Verlag: Springer International Publishing, 2021
ISBN 10: 3030698262ISBN 13: 9783030698263
Anbieter: moluna, Greven, Deutschland
Buch
Gebunden. Zustand: New. Introduces statistics and data science students to classical and modern statistical conceptsFeatures detailed derivations and explanations of complex statistical methodsIncludes statistical tools for applied data science, e.g. for missing d.