Related Books

Mathematical Problems in Data Science
Language: en
Pages: 219
Authors: Li M. Chen
Categories: Computers
Type: BOOK - Published: 2015-12-15 - Publisher: Springer

DOWNLOAD EBOOK

This book describes current problems in data science and Big Data. Key topics are data classification, Graph Cut, the Laplacian Matrix, Google Page Rank, effici
Data Science and Machine Learning
Language: en
Pages: 538
Authors: Dirk P. Kroese
Categories: Business & Economics
Type: BOOK - Published: 2019-11-20 - Publisher: CRC Press

DOWNLOAD EBOOK

Focuses on mathematical understanding Presentation is self-contained, accessible, and comprehensive Full color throughout Extensive list of exercises and worked
Foundations of Data Science
Language: en
Pages: 433
Authors: Avrim Blum
Categories: Computers
Type: BOOK - Published: 2020-01-23 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and a
Data Science
Language: en
Pages: 489
Authors: Ivo D. Dinov
Categories: Computers
Type: BOOK - Published: 2021-12-06 - Publisher: Walter de Gruyter GmbH & Co KG

DOWNLOAD EBOOK

The amount of new information is constantly increasing, faster than our ability to fully interpret and utilize it to improve human experiences. Addressing this
Mathematics for Machine Learning
Language: en
Pages: 392
Authors: Marc Peter Deisenroth
Categories: Computers
Type: BOOK - Published: 2020-04-23 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, opti