Calculus for Machine Learning

Calculus for Machine Learning
Author :
Publisher : Machine Learning Mastery
Total Pages : 283
Release :
ISBN-10 :
ISBN-13 :
Rating : 4/5 ( Downloads)

Book Synopsis Calculus for Machine Learning by : Jason Brownlee

Download or read book Calculus for Machine Learning written by Jason Brownlee and published by Machine Learning Mastery. This book was released on 2022-02-23 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: Calculus seems to be obscure, but it is everywhere. In machine learning, while we rarely write code on differentiation or integration, the algorithms we use have theoretical roots in calculus. If you ever wondered how to understand the calculus part when you listen to people explaining the theory behind a machine learning algorithm, this new Ebook, in the friendly Machine Learning Mastery style that you’re used to, is all you need. Using clear explanations and step-by-step tutorial lessons, you will understand the concept of calculus, how it is relates to machine learning, what it can help us on, and much more.


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