Mathematics of Data Science - A Computational Approach to Clustering and Classification (Paperback)

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.

General

Imprint:	Society For Industrial & Applied Mathematics,U.S.
Country of origin:	United States
Series:	Data Science
Release date:	October 2020
Authors:	Daniela Calvetti • Erkki Somersalo
Dimensions:	180 x 257 x 17mm (L x W x T)
Format:	Paperback
Pages:	189
ISBN-13:	978-1-61197-636-6
Categories:	Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
LSN:	1-61197-636-7
Barcode:	9781611976366

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