Mathematical Foundations for Data Analysis

Language: English

Published by Springer, Springer Mär 2022, 2022

3030623432 / 9783030623432

Series: Book 6 of 11 - Springer Series in the Data Sciences

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This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 308 pp. Englisch.

Seller Inventory # 9783030623432

Title
Mathematical Foundations for Data Analysis
Author
Jeff M. Phillips
Publisher
Springer, Springer Mär 2022
Publication year
2022
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3030623432
ISBN 13
9783030623432
Item weight
470 grams
Dimensions
235x155x17 mm
Series
Book 6 of 11: Springer Series in the Data Sciences

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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