Mathematics for Machine Learning (Cambridge University Press)
Friday, 24 April 2020

In this book, authors Marc Peter Deisenroth, Aldo Faisal and Cheng Soon Ong cover the fundamental mathematical tools needed to understand machine learning including linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics.These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self contained textbook bridges the gap between mathematical and machine learning texts.

<ASIN:110845514X>

 

Authors: Marc Peter Deisenroth, Aldo Faisal and Cheng Soon Ong
Publisher: Cambridge University Press
Date: April 2020
Pages: 398
ISBN: 978-1108455145
Print: 110845514X
Kindle: B083M7DBP6
Audience: developers interested in machine learning
Level: Intermediate/Advanced
Category: Artificial IntelligenceMathematics 

mathml

 

For more Book Watch just click.

Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.

 

 

Banner
 


Beginning Rust Programming

Author: Ric Messier
Publisher: Wiley
Date: March 2021
Pages: 416
ISBN: 978-1119712978
Print: 1119712971
Kindle: B08WZ2D7WC
Audience: Developers wanting to learn Rust
Rating: 3
Reviewer: Mike James
Everyone seems to want to know what makes Rust special. Does this book give the answers?



Geometrical Vectors

Author: Gabriel Weinreich
Publisher: University of Chicago Press
Pages: 126
ISBN: 978-0226890487
Print: 0226890481
Kindle: B01EYG40HO
Audience: Mathematicians, physicists and engineers.
Rating: 5
Reviewer: Mike James
Geometrical Vectors - are there any other kind?


More Reviews