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Bibliographic Details

Title: Machine Learning: 2 Books in 1: An Introduction Math Guide for Beginners to Understand Data Science Through the Business Applications
Publisher: Samuel Hack
Publication Date: 2021
Language: English
ISBN 10: 180172864X
ISBN 13: 9781801728645
Binding: Softcover
Condition: Tr�s bon

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Synopsis

Machine learning is the way of the future – and breaking into this highly lucrative and ever-evolving field is a great way for your career, or business, to prosper. Inside this guide, you’ll find simple, easy-to-follow explanations of the fundamental concepts behind machine learning, from the mathematical and statistical concepts to the programming behind them. With a wide range of comprehensive advice including machine learning models, neural networks, statistics, and much more, this guide is a highly effective tool for mastering this incredible technology. Covering everything you need to know about machine learning, now you can master the mathematics and statistics behind this field and develop your very own neural networks! Whether you want to use machine learning to help your business, or you’re a programmer looking to expand your skills, this bundle is a must-read for anyone interested in the world of machine learning.

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English below. Ammareal est une librairie professionnelle sp�cialis�e dans le livre d?occasion. Nous exp�dions partout dans le monde. Nous avons plus de 250 000 ouvrages en stock dont un grand nombre de livres techniques et acad�miques. Nous reversons jusqu?� 15% du prix de vente de chaque livre � des organisations caritatives, des biblioth�ques et des associations luttant contre l?illettrisme. Ce que nous ne vendons pas nous le donnons, ce que nous ne donnons pas nous le recyclons. Ammareal is a professional bookseller speciliazed in used books. We ship worldwide. We have more than 250 000 books in stock, including a large number of technical and university-level books. We give back up to 15% of the price of each book to charities, libraries and organizations fighting in favor of literacy. What we do not sell, we give, what we do not give we recycle.

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