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Mathematical Foundations for Data Analysis

Engelsk Paperback

Mathematical Foundations for Data Analysis

Engelsk Paperback

471 kr
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23 - 25 hverdage

Om denne bog

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.

Product detaljer
Sprog:
Engelsk
Sider:
287
ISBN-13:
9783030623432
Indbinding:
Paperback
Udgave:
ISBN-10:
3030623432
Kategori:
Udg. Dato:
31 mar 2022
Længde:
0mm
Bredde:
155mm
Højde:
235mm
Forlag:
Springer Nature Switzerland AG
Oplagsdato:
31 mar 2022
Forfatter(e):
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