Related Books
Language: en
Pages: 392
Pages: 392
Type: BOOK - Published: 2020-04-23 - Publisher: Cambridge University Press
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, opti
Language: en
Pages: 346
Pages: 346
Type: BOOK - Published: 2021-12-07 - Publisher: No Starch Press
Math for Deep Learning provides the essential math you need to understand deep learning discussions, explore more complex implementations, and better use the de
Language: en
Pages: 347
Pages: 347
Type: BOOK - Published: 2020-06-12 - Publisher: Packt Publishing Ltd
A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architectures Key FeaturesUnderstand linear alge
Language: en
Pages: 550
Pages: 550
Type: BOOK - Published: 2024-05-21 - Publisher: Simon and Schuster
Shine a spotlight into the deep learning “black box”. This comprehensive and detailed guide reveals the mathematical and architectural concepts behind deep
Language: en
Pages: 408
Pages: 408
Type: BOOK - Published: 2020-10-26 - Publisher: CRC Press
Based on the author’s experience in teaching data science for more than 10 years, Mathematics and Programming for Machine Learning with R: From the Ground Up