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Mathematics of Data Science

Mathematics of Data Science

A Computational Approach to Clustering and Classification

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  • Release Date: 28/02/2021
  • Barcode: 9781611976366
Mathematics of Data Science

Mathematics of Data Science

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DESCRIPTION

A Computational Approach to Clustering and Classification
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.
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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