Mathematical Foundations for Data Analysis

Name: Mathematical Foundations for Data Analysis
Brand: Springer Nature Switzerland AG
SKU: 9783030623432
Price: 1342 CZK
Availability: InStock

Autor: Jeff M. Phillips

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer Nature Switzerland AG

Dostupnost: Skladem u dodavatele

Odesíláme za 5-8 dnů

1 342 Kč

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

Informace o knize

Autor

Jeff M. Phillips

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2022

Stránek

287

EAN

9783030623432

Enbook ID

38823409

Vydavatel

Springer Nature Switzerland AG

Hmotnost

474

Rozměry

155 x 235 x 17

Kompletní 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.

Mohlo by vás zajímat

Zákaznicí kteří koupili tuto knihu koupili také

Nejčastěji hledané

Categories

Authors

Publishers

Produkty

Produkty

Nejčastěji hledané

Categories

Authors

Publishers

Produkty

Produkty

Mathematical Foundations for Data Analysis

Informace o knize

Kompletní popis

Mohlo by vás zajímat

Zákaznicí kteří koupili tuto knihu koupili také