Mathematical Foundations for Data Analysis

Name: Mathematical Foundations for Data Analysis
Brand: Springer Nature Switzerland AG
SKU: 9783030623432
Price: 58.71 EUR
Availability: InStock

Autor: Jeff M. Phillips

Jazyk:

Väzba: Brožovaná

Vydavateľ: Springer Nature Switzerland AG

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58.71 €

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

Informácie o knihe

Autor

Jeff M. Phillips

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2022

Stránok

287

EAN

9783030623432

Enbook ID

38823409

Vydavateľ

Springer Nature Switzerland AG

Hmotnosť

474

Rozmery

155 x 235 x 17

Kompletný popis

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.

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Mathematical Foundations for Data Analysis

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