Items related to Mathematical Foundations for Data Analysis (Springer...
- PublisherSpringer
- Publication date2021
- ISBN 10 3030623408
- ISBN 13 9783030623401
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages304
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Mathematical Foundations for Data Analysis (Springer Series in the Data Sciences)
Published by
Springer (edition 1st ed. 2021), 2021
ISBN 10: 3030623408
ISBN 13: 9783030623401
Used
Hardcover
Seller: BooksRun, Philadelphia, PA, U.S.A.
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Hardcover. Condition: Good. 1st ed. 2021. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported. Seller Inventory # 3030623408-11-1
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Mathematical Foundations for Data Analysis (Springer Series in the Data Sciences)
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hardcover. Condition: Good. Slightly warping, pages are clean. Seller Inventory # mon0003597093
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Mathematical Foundations for Data Analysis (Springer Series in the Data Sciences)
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Mathematical Foundations for Data Analysis
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Mathematical Foundations for Data Analysis
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Mathematical Foundations for Data Analysis
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Mathematical Foundations for Data Analysis
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Mathematical Foundations for Data Analysis
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Mathematical Foundations for Data Analysis
Published by
Springer International Publishing, Springer International Publishing, 2021
ISBN 10: 3030623408
ISBN 13: 9783030623401
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Hardcover
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Buch. Condition: 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. Seller Inventory # 9783030623401
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Mathematical Foundations for Data Analysis
Seller: Majestic Books, Hounslow, United Kingdom
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Condition: New. pp. 287. Seller Inventory # 391520717
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