Order Total (1 Item Items):
Shipping Destination:
Mathematical Foundations Data Analysis by Phillips Jeff (37 results)
Feedback
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (37)
- Magazines & Periodicals (No further results match this refinement)
- Comics (No further results match this refinement)
- Sheet Music (No further results match this refinement)
- Art, Prints & Posters (No further results match this refinement)
- Photographs (No further results match this refinement)
- Maps (No further results match this refinement)
- Manuscripts & Paper Collectibles (No further results match this refinement)
Condition Learn more
- New (31)
- As New, Fine or Near Fine (2)
- Very Good or Good (4)
- Fair or Poor (No further results match this refinement)
- As Described (No further results match this refinement)
Binding
Collectible Attributes
- First Edition (No further results match this refinement)
- Signed (No further results match this refinement)
- Dust Jacket (No further results match this refinement)
- Seller-Supplied Images (14)
- Not Print on Demand (32)
Language (1)
Free Shipping
Seller Location
Seller Rating
-
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!
-
Hardcover. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.4.
-
Mathematical Foundations for Data Analysis (Springer Series in the Data Sciences)
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 5 out of 5 stars
paperback. Condition: Good.
-
Mathematical Foundations for Data Analysis (Springer Series in the Data Sciences)
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 5 out of 5 stars
paperback. Condition: Very Good.
-
US$ 62.63
Convert currencyUS$ 2.64 shipping within U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
-
Condition: New. pp. 287.
-
Mathematical Foundations for Data Analysis
Published 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.
-
Mathematical Foundations for Data Analysis
Published 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
US$ 63.05
Convert currencyUS$ 6.77 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
-
Mathematical Foundations for Data Analysis (Paperback)
Published by Springer Nature Switzerland AG, Cham, 2022
ISBN 10: 3030623432 ISBN 13: 9783030623432
Language: English
Paperback. Condition: new. Paperback. 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.
-
US$ 64.71
Convert currencyUS$ 3.99 shipping within U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
-
Condition: New. SUPER FAST SHIPPING.
-
US$ 66.42
Convert currencyUS$ 2.64 shipping within U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
-
US$ 60.98
Convert currencyUS$ 8.76 shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketCondition: New. pp. 287.
-
US$ 72.00
Convert currencyFree shipping from Australia to U.S.A.Quantity: 2 available
Add to basketBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
-
Condition: New.
-
US$ 66.29
Convert currencyUS$ 11.68 shipping from Germany to U.S.A.Quantity: 4 available
Add to basketCondition: New. pp. 287.
-
Mathematical Foundations for Data Analysis
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 63.03
Convert currencyUS$ 20.22 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketCondition: New.
-
US$ 62.51
Convert currencyUS$ 20.88 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: New.
-
Mathematical Foundations for Data Analysis (Springer Series in the Data Sciences)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 68.20
Convert currencyUS$ 16.15 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketCondition: New. In.
-
Mathematical Foundations for Data Analysis
Published 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
US$ 86.91
Convert currencyFree shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardback. 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.
-
Mathematical Foundations for Data Analysis
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 69.89
Convert currencyUS$ 20.22 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketCondition: As New. Unread book in perfect condition.
-
Mathematical Foundations for Data Analysis (Springer Series in the Data Sciences)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 77.77
Convert currencyUS$ 16.15 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
-
US$ 73.56
Convert currencyUS$ 20.88 shipping from United Kingdom to U.S.A.Quantity: 10 available
Add to basketPF. Condition: New.
-
Condition: New.
-
US$ 76.89
Convert currencyUS$ 33.69 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: Brand New. 282 pages. 9.25x6.10x0.83 inches. In Stock.
-
Mathematical Foundations for Data Analysis
Published by Springer International Publishing, 2021
ISBN 10: 3030623408 ISBN 13: 9783030623401
Language: English
US$ 74.91
Convert currencyUS$ 57.51 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketCondition: 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 .
-
Mathematical Foundations for Data Analysis
Published 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
US$ 71.15
Convert currencyUS$ 70.44 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. 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.
-
Mathematical Foundations for Data Analysis
Published by Springer International Publishing, Springer International Publishing Mär 2021, 2021
ISBN 10: 3030623408 ISBN 13: 9783030623401
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
US$ 71.15
Convert currencyUS$ 70.44 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketBuch. 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.
-
Mathematical Foundations for Data Analysis
Published by Springer International Publishing, 2022
ISBN 10: 3030623432 ISBN 13: 9783030623432
Language: English
US$ 71.15
Convert currencyUS$ 73.19 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. 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.
-
Mathematical Foundations for Data Analysis
Published by Springer International Publishing, Springer International Publishing, 2021
ISBN 10: 3030623408 ISBN 13: 9783030623401
Language: English
US$ 71.15
Convert currencyUS$ 74.46 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketBuch. 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.
