£65.33

Springer Fundamentals of Data Analytics: With a View to Machine Learning

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Description

This book introduces the basic methodologies for successful data analytics. Matrix optimization and approximation are explained in detail and extensively applied to dimensionality reduction by principal component analysis and multidimensional scaling. Diffusion maps and spectral clustering are derived as powerful tools. The methodological overlap between data science and machine learning is emphasized by demonstrating how data science is used for classification as well as supervised and unsupervised learning.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
16 September 2020
Listed Since
09 July 2020

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