Mathematical Foundations for Data Analysis

Name: Mathematical Foundations for Data Analysis
Brand: Springer Nature Switzerland AG
SKU: 9783030623432
Price: 62.08 EUR
Availability: InStock

Автор: Jeff M. Phillips

Език:

Корици: С меки корици

Издател: Springer Nature Switzerland AG

Наличност: Външен склад

Изпращаме след 5-8 дни

62.08 € 121.42 лв

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

Информация за книгата

Автор

Jeff M. Phillips

Език

Английски език

Корици

Книга - С меки корици

Издадена

2022

страници

287

EAN

9783030623432

Enbook ID

38823409

Издател

Springer Nature Switzerland AG

Теглоt

474

Размери

155 x 235 x 17

Пълно описание

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.

Може също да ви хареса

Клиенти, които купиха тази книга, купиха също

Най-често търсени

Categories

Authors

Publishers

Продукти

Продукти

Най-често търсени

Categories

Authors

Publishers

Продукти

Продукти

Mathematical Foundations for Data Analysis

Информация за книгата

Пълно описание

Може също да ви хареса

Клиенти, които купиха тази книга, купиха също