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Mathematical Foundations Data Analysis by Phillips Jeff (41 results)
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Mathematical Foundations for Data Analysis (Springer Series in the Data Sciences)
Book 6 of 11: Springer Series in the Data SciencesSeller: Zubal-Books, Since 1961, Cleveland, OH, U.S.A.
Seller rating 5 out of 5 stars
Condition: Very Good. 308 pp., paperback, some minor separation at rear inner hinge due to a publishing error else text clean & binding tight. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
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hardcover. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
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Hardcover. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
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Condition: New. Brand New. Excellent Customer Service.
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Mathematical Foundations for Data Analysis (Springer Series in the Data Sciences)
Book 6 of 11: Springer Series in the Data SciencesSeller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 5 out of 5 stars
paperback. Condition: Good.
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Mathematical Foundations for Data Analysis (Springer Series in the Data Sciences)
Book 6 of 11: Springer Series in the Data SciencesSeller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 5 out of 5 stars
paperback. Condition: Very Good.
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Mathematical Foundations for Data Analysis
Book 6 of 11: Springer Series in the Data SciencesPublished by Springer Nature Switzerland AG, 2021
ISBN 10: 3030623408 ISBN 13: 9783030623401
Language: English
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Condition: New. pp. 287.
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Mathematical Foundations for Data Analysis
Book 6 of 11: Springer Series in the Data SciencesPublished by Springer Nature Switzerland AG, 2021
ISBN 10: 3030623408 ISBN 13: 9783030623401
Language: English
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Condition: As New. Unread book in perfect condition.
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Condition: New. SUPER FAST SHIPPING.
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Condition: New. pp. 287.
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Condition: New. pp. 287.
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Mathematical Foundations for Data Analysis
Book 6 of 11: Springer Series in the Data SciencesSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Mathematical Foundations for Data Analysis (Springer Series in the Data Sciences)
Book 6 of 11: Springer Series in the Data SciencesSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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Mathematical Foundations for Data Analysis (Hardcover)
Book 6 of 11: Springer Series in the Data SciencesPublished by Springer Nature Switzerland AG, Cham, 2021
ISBN 10: 3030623408 ISBN 13: 9783030623401
Language: English
Hardcover. Condition: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Mathematical Foundations for Data Analysis
Book 6 of 11: Springer Series in the Data SciencesSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Mathematical Foundations for Data Analysis
Book 6 of 11: Springer Series in the Data SciencesPublished by Springer Nature Switzerland AG, CH, 2021
ISBN 10: 3030623408 ISBN 13: 9783030623401
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: 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.
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Mathematical Foundations for Data Analysis (Springer Series in the Data Sciences)
Book 6 of 11: Springer Series in the Data SciencesSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Hardcover. Condition: Brand New. 282 pages. 9.25x6.10x0.83 inches. In Stock.
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Hardcover. Condition: Brand New. 282 pages. 9.25x6.10x0.83 inches. In Stock.
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Mathematical Foundations for Data Analysis
Book 6 of 11: Springer Series in the Data SciencesPublished by Springer International Publishing, 2021
ISBN 10: 3030623408 ISBN 13: 9783030623401
Language: English
Condition: 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 .
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Mathematical Foundations for Data Analysis
Book 6 of 11: Springer Series in the Data SciencesPublished by Springer International Publishing, Springer Nature Switzerland Mär 2022, 2022
ISBN 10: 3030623432 ISBN 13: 9783030623432
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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.
