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Mathematical Foundations for Data Analysis

Name: Mathematical Foundations for Data Analysis
Brand: Springer Nature Switzerland AG
SKU: 35425744
Price: 63.19 EUR
Availability: InStock
Author: Jeff M. Phillips
ISBN: 9783030623401

Jeff M. Phillips

Lingua

Inglese

Libro Rigido

Codice Libristo: 35425744

Casa editrice Springer Nature Switzerland AG, marzo 2021

This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of... Descrizione completa

Codice Libristo: 35425744

155 b

63.19 €

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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.