Synopsis
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 Classification
- proposes different ways of visualizing high-dimensional data to unveil hidden internal structures, and
- includes graphical explanations and computed examples using publicly available data sets in nearly every chapter to highlight similarities and differences among the algorithms.
"synopsis" may belong to another edition of this title.
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Mathematics of Data Science
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ISBN 10: 1611976367
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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. Seller Inventory # LU-9781611976366
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Mathematics of Data Science: A Computational Approach to Clustering and Classification
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Mathematics of Data Science: A Computational Approach to Clustering and Classification
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Mathematics of Data Science: A Computational Approach to Clustering and Classification
Published by
Society for Industrial & Applied Mathematics,U.S., 2021
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Mathematics of Data Science
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Mathematics of Data Science: A Computational Approach to Clustering and Classification
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Mathematics of Data Science
Published by
Society for Industrial and Applied Mathematics,U.S., US, 2021
ISBN 10: 1611976367
ISBN 13: 9781611976366
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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. Seller Inventory # LU-9781611976366
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Mathematics of Data Science : A Computational Approach to Clustering and Classification
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