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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 - Calvetti, Daniela, and Somersalo, Erkki
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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 ...

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Mathematics of Data Science: A Computational Approach to Clustering and Classification 2021, Society for Industrial & Applied Mathematics,U.S., New York

ISBN-13: 9781611976366

Paperback