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Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies

Steven Finlay

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Sale

Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies

by Steven Finlay
Save up to 37%
Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies
Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies
Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies

Demystifies AI for practical business applications.

If you're looking to stay competitive in today’s fast-paced business world, understanding AI and machine learning is crucial. Steven Finlay's book strips down the complexity, offering a digestible guide for leveraging these technologies in your company. Whether you're aiming to cut costs, enhance customer experience, or just keep up with the industry, this book can be your roadmap to integrating data-driven decisions that could give you the edge over your competitors.

Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.
Sale

Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies

by Steven Finlay
Save up to 37%
Condition guide

Book Condition Guide

Books in Like New Condition

This book may contain very minor cosmetic defects, but it is in pristine condition. There should be no yellowing, no foxing, no water damage, and no annotations of any kind on the cover and the pages. For paperbacks, there should not be any crease marks on the spine. This book is good as new — lucky you!

*Books may be missing bundle media (e.g. CD, e-book code), if included.

Books in Very Good Condition

This book has been used, but it is still in a clean condition. There should be no foxing or annotations of any kind on the inner pages, but a sparse amount may be present on the cover, title pages, or outside edges of the book. There should be no water damage of any kind. For paperbacks, there may be light crease marks on the spine.

*Books may be missing bundle media (e.g. CD, e-book code), if included.

Books in Good Condition

We do our best to ensure the quality of our books, but there is no escaping the wear and tear that comes with time. Slight foxing and some annotations may be present on the pages and the cover. There should be no water damage of any kind. For paperbacks, there may be several crease marks on the spine.

*Books may be missing bundle media (e.g. CD, e-book code), if included.

Books in Well Read Condition

This is a well-read book, which means that the previous owner probably really enjoyed it! The cover and pages may include moderate foxing and annotations, but the text is not obscured and still readable. Moderate cosmetic defects and minor water damage may be present on the edges of the book. For paperbacks, there may be multiple crease marks on the spine.

*Books may be missing bundle media (e.g. CD, e-book code), if included.

 

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ISBN: 9781999730307
Author: Steven Finlay
Publisher: Relativistic
Date of Publication: 2017-05-28
Format: Paperback
Related Collections: Business, Science
Related Topics: Management, Technology, Computers
Goodreads rating: 4.13
(rated by 205 readers)
 

Demystifies AI for practical business applications.

If you're looking to stay competitive in today’s fast-paced business world, understanding AI and machine learning is crucial. Steven Finlay's book strips down the complexity, offering a digestible guide for leveraging these technologies in your company. Whether you're aiming to cut costs, enhance customer experience, or just keep up with the industry, this book can be your roadmap to integrating data-driven decisions that could give you the edge over your competitors.

Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.

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