Machine Learning Fundamentals: A Concise Introduction

ISBN: 1108837042

Category: Technical


Posted on 2022-01-22, by Yaer2022.

Description



Machine Learning Fundamentals: A Concise Introduction | English | Feb 17, 2022 | ISBN: 1108837042, 1108940021 | 420 pages | PDF | 64 MB

This lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for beginners to follow. The author assumes basic calculus, linear algebra, probability and statistics but no prior exposure to machine learning. Coverage includes widely used traditional methods such as SVMs, boosted trees, HMMs, and LDAs, plus popular deep learning methods such as convolution neural nets, attention, transformers, and GANs. Organized in a coherent presentation framework that emphasizes the big picture, the text introduces each method clearly and concisely “from scratch” based on the fundamentals. All methods and algorithms are described by a clean and consistent style, with a minimum of unnecessary detail. Numerous case studies and concrete examples demonstrate how the methods can be applied in a variety of contexts.

Download:

https://rapidgator.net/file/c104b78d81bc4ef2ea702fada88aaa61/Machine_Learning_Fundamentals_A_Concise_Introduction.pdf.html

https://nitro.download/view/84A3528473EA9D9/Machine_Learning_Fundamentals_A_Concise_Introduction.pdf


Sponsored High Speed Downloads
9222 dl's @ 2607 KB/s
Download Now [Full Version]
6597 dl's @ 3734 KB/s
Download Link 1 - Fast Download
9258 dl's @ 3566 KB/s
Download Mirror - Direct Download



Search More...
Machine Learning Fundamentals: A Concise Introduction

Search free ebooks in ebookee.com!


Links
Download this book

No active download links here?
Please check the description for download links if any or do a search to find alternative books.


Related Books


Comments

No comments for "Machine Learning Fundamentals: A Concise Introduction".


    Add Your Comments
    1. Download links and password may be in the description section, read description carefully!
    2. Do a search to find mirrors if no download links or dead links.
    Back to Top