Machine learning for business book

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machine learning for business book

Manning | Machine Learning for Business

There are few resources that can match the in-depth, comprehensive detail of one of these machine learning books. Solutions Review has taken the liberty of doing the research for you, having reviewed many of these books. Each book listed has a minimum of 15 Amazon user reviews and a rating of 4. Below you will find a library of books from recognized leaders, experts, and technology professionals in the field. From data science to neural networks, these publications have something to offer even the most tenured data and analytics professionals. This means plain-English explanations and no coding experience required.
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Published 28.04.2019

Is this the BEST BOOK on Machine Learning? Hands On Machine Learning Review

future events. Machine Learning for Business teaches you how to make your company more automated. Back. The Hundred-Page Machine Learning Book.

Part 1: Machine learning in business

This book is specifically designed for readers who already have a relatively good understanding of programming. Keep in mind that familiarity with Python is a necessary pre-requisite before reading. This book is jam-packed with exercises to consolidate understanding, and covers a broad range of topics with varying complexities across the Machine Learning process. If you are extremely interested in the concept of Machine Learning, but lacking the technical knowhow to make sense of it all, then this is the book for you. Designed for people that have no background in coding or programming, it pretty much does what it says on the tin. The book provides simple and visually engaging examples, and interactive exercises to assist you in understanding concepts that may have been previously out of reach.

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4 thoughts on “Top 25 Best Machine Learning Books You Should Read

  1. This book is an excellent introduction to machine learning for beginners using real-world examples from the business world that people will actually be able to apply in their day-to-day jobs.

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