Download the fantastic book titled Calculus for Machine Learning written by Jason Brownlee, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Calculus for Machine Learning", which was released on 23 February 2022. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.
Summary of Calculus for Machine Learning by Jason Brownlee PDF
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.
Detail About Calculus for Machine Learning PDF
- Author : Jason Brownlee
- Publisher : Machine Learning Mastery
- Genre : Computers
- Total Pages : 283 pages
- ISBN :
- Release Date : 23 February 2022
- PDF File Size : 32,9 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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