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Mathematical Foundations for Data Analysis (2021)
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Mathematical Foundations for Data Analysis (2021)

by Jeff M Phillips
No customer reviews yet ISBN 9783030623432
Published
Mar 2022
Language
English
$67.86
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About this book

This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of many basic principles and techniques needed for modern data analysis. In particular, this book was designed and written as preparation for students planning to take rigorous Machine Learning and Data Mining courses. It introduces key conceptual tools necessary for data analysis, including concentration of measure and PAC bounds, cross validation, gradient descent, and principal component analysis. It also surveys basic techniques in supervised (regression and classification) and unsupervised learning (dimensionality reduction and clustering) through an accessible, simplified presentation. Students are recommended to have some background in calculus, probability, and linear algebra. Some familiarity with programming and algorithms is useful to understand advanced topics on computational techniques.

Specifications

PublishedMar 31, 2022
ISBN-103030623432
ISBN-139783030623432
LanguageEnglish

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