Title: Mathematics of Data Science: A Computational Approach to Clustering and Classification
Publisher: SIAM - Society for Industrial and Applied Mathematics
Publication Date: 2021
Language: English
ISBN 10: 1611976367
ISBN 13: 9781611976366
Binding: Soft cover
Condition: New

About this title

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.

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