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

by Steven Finlay (Author)
4.4 4.4 out of 5 stars 96 ratings
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Please note that the fourth edition of this book is now available.

Artificial Intelligence (AI) and Machine Learning are now mainstream business tools. They are being applied across many industries to increase profits, reduce costs, save lives and improve customer experiences. Organizations which understand these tools and know how to use them are benefiting at the expense of their rivals.

Artificial Intelligence and Machine Learning for Business cuts through the hype and technical jargon that is often associated with these subjects. It delivers a simple and concise introduction for managers and business people. The focus is very much on practical application and how to work with technical specialists (data scientists) to maximize the benefits of these technologies.

Steven Finlay is a data scientist with more than 20 years' experience of developing practical machine learning-based solutions. He holds a PhD in management science and is an honorary research fellow at Lancaster University in the UK. He is currently Head of Analytics for Computershare Loan Services (CLS) in the UK. Dr Finlay has published a number of practically focused books about machine learning, artificial intelligence and financial services.

Please note that the new, fourth, edition of this book is now available.
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  1. ISBN-10
    1999730348
  2. ISBN-13
    978-1999730345
  3. Publication date
    July 1, 2018
  4. Part of series
    Artificial Intelligence and Machine Learning
  5. Language
    English
  6. Dimensions
    5.5 x 0.44 x 8.5 inches
  7. Print length
    192 pages
  8. See all details
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  1. Artificial Intelligence (AI) is the replication of human analytical and/or decision-making capabilities.
    Highlighted by 119 Kindle readers
  2. One of the most common, and arguably the first, application of machine learning is prediction.
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Editorial Reviews

About the Author

Steven Finlay is a data scientist with more than 20 years' experience of developing practical "value add" machine learning solutions in large scale data environments. He holds a PhD in predictive modelling and is an honorary research fellow at Lancaster University in the UK. He is currently Head of Analytics for Computershare Loan Services (CLS) in the UK. Dr Finlay has published a number of practically focused books about machine learning, artificial intelligence and financial services. His other books include:

Predictive Analytics in 56 Minutes.

Predictive Analytics, Data Mining and Big Data. Myths, Misconceptions and Methods.

Credit Scoring, Response Modeling and Insurance Rating. A Practical Guide to Forecasting Consumer Behavior.

The Management of Consumer Credit. Theory and Practice.

Consumer Credit Fundamentals.

Product details

  • Publisher ‏ : ‎ Relativistic (July 1, 2018)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 192 pages
  • ISBN-10 ‏ : ‎ 1999730348
  • ISBN-13 ‏ : ‎ 978-1999730345
  • Item Weight ‏ : ‎ 8.1 ounces
  • Dimensions ‏ : ‎ 5.5 x 0.44 x 8.5 inches
  • Customer Reviews:
    4.4 4.4 out of 5 stars 96 ratings

About the author

Follow authors to get new release updates, plus improved recommendations.
Steven Finlay

Steven Finlay

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Steven Finlay is a Data Scientist with more than 20 years experience of developing practical "value add" machine learning-based solutions. He holds a PhD in Management Science and is currently Head of Analytics for Computershare Loan Services (CLS) in the UK. He's also an honorary research fellow at the Lancaster University Management School in the UK.

Steve has published a number of practically focused books about machine learning, artificial intelligence and a number of other subjects. His most recent books include:

Steven Finlay. (2021). Artificial Intelligence and Machine Learning for Business. Fourth Edition.

Steven Finlay. (2020). Artificial Intelligence for Everyone.

Steven Finlay. (2015). Predictive Analytics in 56 Minutes.

Steven Finlay. (2014). Predictive Analytics, Data Mining and Big Data. Myths, Misconceptions and Methods.

Steven Finlay. (2012). Credit Scoring, Response Modeling and Insurance Rating. A Practical Guide to Forecasting Consumer Behavior. Second Edition.

Steven Finlay. (2010). The Management of Consumer Credit. Theory and Practice. Second Edition.

Steven Finlay. (2009). Consumer Credit Fundamentals. Second Edition.

Steve always likes to hear from readers. If you have any questions or comments about his books then he would love to hear from you. Please e-mail him at: steve.finlay@relativistic.co.uk.

Customer reviews

4.4 out of 5 stars
96 global ratings

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Top reviews from the United States

  • Wairimu P Mburu
    5.0 out of 5 stars Concise and Easy to Understand
    Reviewed in the United States on October 23, 2023
    Verified Purchase
    This book is a great introduction to AI and why AI matters to a business, I found it easy to understand.
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  • Markus
    5.0 out of 5 stars great intro
    Reviewed in the United States on May 19, 2023
    Verified Purchase
    If you’re new to AI/ML and/or want to understand some key concepts beyond just the technical side, such as what makes sense from a business perspective, this is a great book!
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  • Michael K. Le Monier
    4.0 out of 5 stars Excellent Introduction
    Reviewed in the United States on April 30, 2023
    Verified Purchase
    The author is very grounded both in explaining AI and evaluating criteria for usage. I believe the right issues are raised and I feel much better informed on the topic. Nice work Steven!
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  • Mr and Ms Murphy
    5.0 out of 5 stars As a global tech executive, I tell my customers - this is a must read!
    Reviewed in the United States on May 3, 2020
    Verified Purchase
    As a global technology executive, I now recommend this book to anyone who wants to understand AI/ML. While it covers considerable depth on the technology and just enough on what statisticians/data scientist do, it's extremely simplified for any reader. It's an excellent read for executives, business and technology leaders alike and well crafted for anyone who wants to understand how AI/ML works, key concepts, how to operational it in a firm and ethics/privacy considerations that can increase risk to its use. What I also found most important is that the author provides a reality check on how important it is that folks dabbling in AI/ML have clear business drivers and clear target value outcomes. Get a strategy for using data first - dumping data in lakes, studying it and hoping you find gold in there is usually wishful thinking. This book will help you get started out on the right foot. Great read!
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  • Not My Real Name
    5.0 out of 5 stars The Most Accessible Book on AI and ML That I’ve Found
    Reviewed in the United States on August 29, 2018
    Verified Purchase
    This is a great book. It covers what can be very complex topics, but is written in a way that makes them very easy to understand. If you’re looking for an introduction to AI and Machine Learning, I can’t think of a better resource.

    For business folks evaluating whether these technologies may benefit their organization, this provides a great framework. For students entering the business and/or tech world, this would be a great starting point. Though it is not a technical reference, I think it gives developers and IT folks a good understanding of how others are evaluating their work.

    Even if you’re not in one of the categories above, you’ve likely seen ton of news articles discussing (but not always fully explaining) these technologies. This book would be great for you as well.

    I’ve read a lot of books and articles on these topics, but there’s nothing I can point to that provides a better overview.
    3 people found this helpful
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  • Silver Lightfoot
    5.0 out of 5 stars A very fun book, well put together
    Reviewed in the United States on November 6, 2018
    Verified Purchase
    Kudos are well deserved for the author demystifying some of the biggest and least understood buzzwords out there today: AI. Machine learning. Big data....

    Finally a straightforward discussion of these advanced concepts wrapped in an easily-accessible and understandable fashion. If you're curious about the topics and nervous about buying an in-depth tome in which you will feel lost in jargon and technical mumbo-jumbo, buy this one. The author is clearly an expert in the topic area and does a fantastic job of explaining it to mortals.

    Pick this one up, you'll be glad you did.
    2 people found this helpful
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  • cust0merX
    5.0 out of 5 stars A must read before you get your check out!
    Reviewed in the United States on February 8, 2020
    Verified Purchase
    A clear and concise book that walks you through some complicated topics, whilst demystifying the hype and providing a balanced guidance on how to approach them.
    A must read for any business person embarking on advanced analytics.
    One person found this helpful
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  • Katty M
    5.0 out of 5 stars Really no-nonsence
    Reviewed in the United States on March 7, 2019
    Verified Purchase
    Love this book, it explains basic concepts without pretending to be over-smart.
    3 people found this helpful
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Top reviews from other countries

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  • Super funcional e bonito
    5.0 out of 5 stars Excelente-Conhecimentos de IA para gestores e negócios
    Reviewed in Brazil on November 19, 2023
    Verified Purchase
    Permite compreender os conceitos básicos de Machine Learning para qualquer profissional da área de humanas que gerencia ou trabalha em áreas como marketing, administração e comercial de negócios de inteligência artificial.
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  • C.
    5.0 out of 5 stars Fantastic first book on AI / ML
    Reviewed in Canada on February 12, 2020
    Verified Purchase
    This was a great first book to get your feet wet on the concepts of AI / ML. The author does a great job using plain English and practical examples to show how these techniques work. It was also great reading about the potential ethical implications. Would highly recommend.
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  • GC
    5.0 out of 5 stars Very clear and interesting
    Reviewed in Germany on May 13, 2019
    Verified Purchase
    The book show machine learning techniques in an accessible language and providing useful examples for fixing the concepts. Really useful for business applications. Recommended.
    One person found this helpful
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  • elisabetta
    5.0 out of 5 stars Chiaro
    Reviewed in Italy on January 13, 2019
    Verified Purchase
    Finalmente un libro che spiega AI e principali algoritmi in un linguaggio comprensibile anche ai non matematici. Ottimo libro, scorrevole, piacevole e pieno di esempi. Ottima lettura
    One person found this helpful
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  • Rajkumar Dhanasekaran
    5.0 out of 5 stars Very good book
    Reviewed in India on December 23, 2018
    Verified Purchase
    A no nonsense guide on ML & AI. Breaking quite a few myths going around. No Mathematics, I am very happy with that :-)
    One person found this helpful
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