Da: Books From California, Simi Valley, CA, U.S.A.
EUR 40,29
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrellopaperback. Condizione: Good.
Da: Books From California, Simi Valley, CA, U.S.A.
EUR 40,29
Convertire valutaQuantità: 4 disponibili
Aggiungi al carrellopaperback. Condizione: Very Good.
EUR 52,96
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
EUR 53,24
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloCondizione: New. pp. 287.
Editore: Springer Nature Switzerland AG, 2021
ISBN 10: 3030623408 ISBN 13: 9783030623401
Lingua: Inglese
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 58,25
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: Best Price, Torrance, CA, U.S.A.
EUR 52,70
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloCondizione: New. SUPER FAST SHIPPING.
Editore: Springer Nature Switzerland AG, 2021
ISBN 10: 3030623408 ISBN 13: 9783030623401
Lingua: Inglese
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 53,92
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 52,57
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloCondizione: New. pp. 287.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 56,89
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: ALLBOOKS1, Direk, SA, Australia
EUR 61,46
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrello
EUR 60,73
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: California Books, Miami, FL, U.S.A.
EUR 65,06
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
EUR 54,17
Convertire valutaQuantità: 4 disponibili
Aggiungi al carrelloCondizione: New. pp. 287.
EUR 53,90
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 58,32
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: Chiron Media, Wallingford, Regno Unito
EUR 55,00
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Springer Nature Switzerland AG, CH, 2021
ISBN 10: 3030623408 ISBN 13: 9783030623401
Lingua: Inglese
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 78,07
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloHardback. Condizione: New. 2021 ed. This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of many basic principles and techniques needed for modern data analysis. In particular, this book was designed and written as preparation for students planning to take rigorous Machine Learning and Data Mining courses. It introduces key conceptual tools necessary for data analysis, including concentration of measure and PAC bounds, cross validation, gradient descent, and principal component analysis. It also surveys basic techniques in supervised (regression and classification) and unsupervised learning (dimensionality reduction and clustering) through an accessible, simplified presentation. Students are recommended to have some background in calculus, probability, and linear algebra. Some familiarity with programming and algorithms is useful to understand advanced topics on computational techniques.
EUR 62,02
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 66,50
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
EUR 62,91
Convertire valutaQuantità: 10 disponibili
Aggiungi al carrelloPF. Condizione: New.
EUR 78,28
Convertire valutaQuantità: 4 disponibili
Aggiungi al carrelloCondizione: New.
Da: Revaluation Books, Exeter, Regno Unito
EUR 67,61
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 282 pages. 9.25x6.10x0.83 inches. In Stock.
Da: Revaluation Books, Exeter, Regno Unito
EUR 76,98
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 282 pages. 9.25x6.10x0.83 inches. In Stock.
Editore: Springer International Publishing, 2021
ISBN 10: 3030623408 ISBN 13: 9783030623401
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 63,54
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloCondizione: New. Provides accessible, simplified introduction to core mathematical language and conceptsIntegrates examples of key concepts through geometric illustrations and Python codingAddresses topics in locality sensitive .
Editore: Springer International Publishing, Springer Nature Switzerland Mär 2022, 2022
ISBN 10: 3030623432 ISBN 13: 9783030623432
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 58,84
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of many basic principles and techniques needed for modern data analysis. In particular, this book was designed and written as preparation for students planning to take rigorous Machine Learning and Data Mining courses. It introduces key conceptual tools necessary for data analysis, including concentration of measure and PAC bounds, cross validation, gradient descent, and principal component analysis. It also surveys basic techniques in supervised (regression and classification) and unsupervised learning (dimensionality reduction and clustering) through an accessible, simplified presentation. Students are recommended to have some background in calculus, probability, and linear algebra. Some familiarity with programming and algorithms is useful to understand advanced topics on computational techniques.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 308 pp. Englisch.
Editore: Springer International Publishing, Springer International Publishing Mär 2021, 2021
ISBN 10: 3030623408 ISBN 13: 9783030623401
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 58,84
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Neuware -This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of many basic principles and techniques needed for modern data analysis. In particular, this book was designed and written as preparation for students planning to take rigorous Machine Learning and Data Mining courses. It introduces key conceptual tools necessary for data analysis, including concentration of measure and PAC bounds, cross validation, gradient descent, and principal component analysis. It also surveys basic techniques in supervised (regression and classification) and unsupervised learning (dimensionality reduction and clustering) through an accessible, simplified presentation. Students are recommended to have some background in calculus, probability, and linear algebra. Some familiarity with programming and algorithms is useful to understand advanced topics on computational techniques.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 308 pp. Englisch.
Editore: Springer International Publishing, 2022
ISBN 10: 3030623432 ISBN 13: 9783030623432
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 58,84
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of many basic principles and techniques needed for modern data analysis. In particular, this book was designed and written as preparation for students planning to take rigorous Machine Learning and Data Mining courses. It introduces key conceptual tools necessary for data analysis, including concentration of measure and PAC bounds, cross validation, gradient descent, and principal component analysis. It also surveys basic techniques in supervised (regression and classification) and unsupervised learning (dimensionality reduction and clustering) through an accessible, simplified presentation. Students are recommended to have some background in calculus, probability, and linear algebra. Some familiarity with programming and algorithms is useful to understand advanced topics on computational techniques.
Editore: Springer International Publishing, Springer International Publishing, 2021
ISBN 10: 3030623408 ISBN 13: 9783030623401
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 58,84
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of many basic principles and techniques needed for modern data analysis. In particular, this book was designed and written as preparation for students planning to take rigorous Machine Learning and Data Mining courses. It introduces key conceptual tools necessary for data analysis, including concentration of measure and PAC bounds, cross validation, gradient descent, and principal component analysis. It also surveys basic techniques in supervised (regression and classification) and unsupervised learning (dimensionality reduction and clustering) through an accessible, simplified presentation. Students are recommended to have some background in calculus, probability, and linear algebra. Some familiarity with programming and algorithms is useful to understand advanced topics on computational techniques.
Editore: Springer Nature Switzerland AG, CH, 2021
ISBN 10: 3030623408 ISBN 13: 9783030623401
Lingua: Inglese
Da: Rarewaves.com UK, London, Regno Unito
EUR 72,84
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloHardback. Condizione: New. 2021 ed. This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of many basic principles and techniques needed for modern data analysis. In particular, this book was designed and written as preparation for students planning to take rigorous Machine Learning and Data Mining courses. It introduces key conceptual tools necessary for data analysis, including concentration of measure and PAC bounds, cross validation, gradient descent, and principal component analysis. It also surveys basic techniques in supervised (regression and classification) and unsupervised learning (dimensionality reduction and clustering) through an accessible, simplified presentation. Students are recommended to have some background in calculus, probability, and linear algebra. Some familiarity with programming and algorithms is useful to understand advanced topics on computational techniques.
Editore: Springer International Publishing Mrz 2022, 2022
ISBN 10: 3030623432 ISBN 13: 9783030623432
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 58,84
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of many basic principles and techniques needed for modern data analysis. In particular, this book was designed and written as preparation for students planning to take rigorous Machine Learning and Data Mining courses. It introduces key conceptual tools necessary for data analysis, including concentration of measure and PAC bounds, cross validation, gradient descent, and principal component analysis. It also surveys basic techniques in supervised (regression and classification) and unsupervised learning (dimensionality reduction and clustering) through an accessible, simplified presentation. Students are recommended to have some background in calculus, probability, and linear algebra. Some familiarity with programming and algorithms is useful to understand advanced topics on computational techniques. 308 pp. Englisch.