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9781611976366 - Mathematics of Data Science: a Computational Approach to Clustering and Classification by Daniela Calvetti Author & Erkki Somersalo Author (13 results)
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Mathematics of Data Science: A Computational Approach to Clustering and Classification
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10: 1611976367 ISBN 13: 9781611976366
Condition: very_good. Book is in very good condition and may include minimal underlining highlighting. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service.
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Mathematics Of Data Science: A Computational Approach To Clustering And Classification
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10: 1611976367 ISBN 13: 9781611976366
Condition: As New. Unread book in perfect condition.
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Mathematics of Data Science A Computational Approach to Clustering and Classification
Language: English
Published by Society For Industrial & Applied Mathematics,U.S., 2021
ISBN 10: 1611976367 ISBN 13: 9781611976366
US$ 77.04
US$ 13.36 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback / Softback. Condition: Brand New. 189 pages. 10.94x8.43x0.91 inches. In Stock.
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Mathematics Of Data Science: A Computational Approach To Clustering And Classification
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10: 1611976367 ISBN 13: 9781611976366
Condition: New.
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Mathematics of Data Science
Language: English
Published by Society for Industrial and Applied Mathematics,U.S., US, 2021
ISBN 10: 1611976367 ISBN 13: 9781611976366
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. This textbook provides a solid mathematical basis for understanding popular data science algorithms for clustering and classification and shows that an in-depth understanding of the mathematics powering these algorithms gives insight into the underlying data. It presents a step-by-step derivation of these algorithms, outlining their implementation from scratch in a computationally sound way.Mathematics of Data Science: A Computational Approach to Clustering and Classificationproposes different ways of visualizing high-dimensional data to unveil hidden internal structures, andincludes graphical explanations and computed examples using publicly available data sets in nearly every chapter to highlight similarities and differences among the algorithms.
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Mathematics of Data Science - A Computational Approach to Clustering and Classification
Language: English
Published by MP-SIA SIAM - Society for Industrial and Applied M, 2021
ISBN 10: 1611976367 ISBN 13: 9781611976366
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Mathematics of Data Science: A Computational Approach to Clustering and Classification
Language: English
Published by Society for Industrial & Applied Mathematics,U.S., 2021
ISBN 10: 1611976367 ISBN 13: 9781611976366
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. 2021. Paperback. . . . . .
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Mathematics Of Data Science: A Computational Approach To Clustering And Classification
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10: 1611976367 ISBN 13: 9781611976366
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 84.41
US$ 20.04 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketCondition: As New. Unread book in perfect condition.
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Mathematics of Data Science: A Computational Approach to Clustering and Classification
Language: English
Published by Society for Industrial & Applied Mathematics,U.S., 2021
ISBN 10: 1611976367 ISBN 13: 9781611976366
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 87.07
US$ 20.00 shipping
Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Mathematics Of Data Science: A Computational Approach To Clustering And Classification
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10: 1611976367 ISBN 13: 9781611976366
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 86.18
US$ 20.04 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketCondition: New.
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Mathematics of Data Science: A Computational Approach to Clustering and Classification
Language: English
Published by Society for Industrial & Applied Mathematics,U.S., 2021
ISBN 10: 1611976367 ISBN 13: 9781611976366
Condition: New. 2021. Paperback. . . . . . Books ship from the US and Ireland.
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Mathematics of Data Science: A Computational Approach to Clustering and Classification (eng)
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10: 1611976367 ISBN 13: 9781611976366
Condition: new.
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Mathematics of Data Science
Language: English
Published by Society for Industrial and Applied Mathematics,U.S., US, 2021
ISBN 10: 1611976367 ISBN 13: 9781611976366
US$ 86.19
US$ 86.82 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: New. This textbook provides a solid mathematical basis for understanding popular data science algorithms for clustering and classification and shows that an in-depth understanding of the mathematics powering these algorithms gives insight into the underlying data. It presents a step-by-step derivation of these algorithms, outlining their implementation from scratch in a computationally sound way.Mathematics of Data Science: A Computational Approach to Clustering and Classificationproposes different ways of visualizing high-dimensional data to unveil hidden internal structures, andincludes graphical explanations and computed examples using publicly available data sets in nearly every chapter to highlight similarities and differences among the algorithms.
