Książka Mathematical Foundations for Data Analysis Jeff M. Phillips

Mathematical Foundations for Data Analysis

Język: Angielski
Oprawa: Miękka
Dostępność: Dostępna u dostawcy
Wysyłamy za 5-8 dni
248.78
This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of...

Informacje o książce

Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2022
strony
287
EAN
9783030623432
Enbook ID
38823409
Waga
474
Wymiary
155 x 235 x 17

Pełny opis

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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