Mathematical Foundations for Data Analysis

Name: Mathematical Foundations for Data Analysis
Brand: Springer Nature Switzerland AG
SKU: 9783030623401
Price: 22676 HUF
Availability: InStock

Szerző: Jeff M. Phillips

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer Nature Switzerland AG

Elérhetőség: Beszállítói készleten

Küldés 10-13 napon belül

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

Információk a könyvről

Szerző

Jeff M. Phillips

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2021

oldal

287

EAN

9783030623401

ISBN

3030623408

Enbook ID

35425744

Kiadó

Springer Nature Switzerland AG

Súly

666

Méretek

242 x 159 x 27

Teljes leírás

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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Mathematical Foundations for Data Analysis

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