| 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.
Authors: Marc Peter Deisenroth, Aldo Faisal and Cheng Soon Ong
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.
|
