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Mathematical Foundations for Data Analysis

Af: Jeff M. Phillips Engelsk Paperback

Mathematical Foundations for Data Analysis

Af: Jeff M. Phillips Engelsk Paperback
Tjek vores konkurrenters priser

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.

Tjek vores konkurrenters priser
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Tjek vores konkurrenters priser

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.

Produktdetaljer
Sprog: Engelsk
Sider: 287
ISBN-13: 9783030623432
Indbinding: Paperback
Udgave:
ISBN-10: 3030623432
Kategori: Numerisk analyse
Udg. Dato: 31 mar 2022
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer Nature Switzerland AG
Oplagsdato: 31 mar 2022
Forfatter(e): Jeff M. Phillips
Forfatter(e) Jeff M. Phillips


Kategori Numerisk analyse


ISBN-13 9783030623432


Sprog Engelsk


Indbinding Paperback


Sider 287


Udgave


Længde 0mm


Bredde 155mm


Højde 235mm


Udg. Dato 31 mar 2022


Oplagsdato 31 mar 2022


Forlag Springer Nature Switzerland AG

Kategori sammenhænge