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

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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. Consequently, organizations which understand these tools and know how to use them are benefiting at the expense of their rivals. Artificial Intelligence and Machine 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. Consequently, 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. The third edition has been substantially revised and updated. It contains several new chapters and covers a broader set of topics than before, but retains the no-nonsense style of the original.


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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. Consequently, organizations which understand these tools and know how to use them are benefiting at the expense of their rivals. Artificial Intelligence and Machine 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. Consequently, 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. The third edition has been substantially revised and updated. It contains several new chapters and covers a broader set of topics than before, but retains the no-nonsense style of the original.

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

  1. 4 out of 5

    Tariq Ibrahim

    No non-sense entry to machine learning with no technical prerequisites This book delivers on its promise as in its title. It explains the pivotal business case and decisions to take on while embarking on a machine learning project. It is also an entry to the subject, so advanced readers can skip it.

  2. 4 out of 5

    Pan Jiuhai

    Good book and easy to understand for beginner.

  3. 5 out of 5

    Maurizio Boldrini

    Easy to be read also for inexperienced readers in machine learning. Useful to get an overview and so consciously apply machine learning tools in business context.

  4. 4 out of 5

    David

    ‘This is a good introduction on artificial intelligence and machine learning for business managers. If you’re a data scientist, you can skip it. But if you’re looking for an introduction to this field, then I highly recommend it. The book is concise and written clearly with practical examples on different predictive models and how to use and evaluate them. Well worth the time.

  5. 4 out of 5

    Eric MarketShot

    Excellent book!

  6. 5 out of 5

    Shane Burford

    Great introduction This book is a great introduction to machine learning. Important for anyone who wants to begin to explore how AI will change their profession.

  7. 4 out of 5

    Abhishek Sengupta

    A good book explaining and introducing AI and it’s possible impact. It got a bit boring in the middle. I would have preferred it to be more case study oriented or with examples of industry implementation and their impact. I really appreciated the ethical perspective of the author because that’s a big debate. However the book scratched the surface, went deep to explain different types of predictive models but then switch gears to implementation challenges. Overall an ok read for a beginner but no A good book explaining and introducing AI and it’s possible impact. It got a bit boring in the middle. I would have preferred it to be more case study oriented or with examples of industry implementation and their impact. I really appreciated the ethical perspective of the author because that’s a big debate. However the book scratched the surface, went deep to explain different types of predictive models but then switch gears to implementation challenges. Overall an ok read for a beginner but not one who knows the basics and has experience.

  8. 4 out of 5

    Emil Gigov

    This book is a great introduction into the topic of artificial intelligence and machine learning for those who are not in a technical role. The language is easy to understand and deliberately avoids jargon which makes it very accessible even for those with no prior knowledge of the topic. Keeping the text short was a key objective of the author, though a few more case studies and examples of the application of AI would have been helpful.

  9. 4 out of 5

    Jax Vullinghs

    An accessible introduction to machine learning that describes the different types of predictive models, their respective benefits, and how to operationalise machine learning within a big organisation. The focus is on understanding the problem the model needs to solve, ensuring you have sufficient data to train the model, putting in place the tools and infrastructure required to analyse the data, and developing a plan for how the insights emerging from the model will be used.

  10. 4 out of 5

    Yazan Al-masafah

    Did not add much value I expected the book to have a wider perceptive about how AI will evolve in the future. Also, business examples are a few and most of them are already well known.. nothing new

  11. 4 out of 5

    John Peltier

    Solid entry level book for background and reference

  12. 4 out of 5

    Mahesh

    Good introductory read for developing an understanding of AI and data science. Some of the complex concepts are presented in a very simple and easy to understand way.

  13. 4 out of 5

    Lyka Odan

    I WANT TO READ THIS!!! WHERE CAN I DOWNLOAD IT

  14. 5 out of 5

    Katy

    Succinct and well written read on AI and machine learning at high level

  15. 4 out of 5

    Michele

  16. 5 out of 5

    Steve

  17. 5 out of 5

    Fabian

  18. 5 out of 5

    Andrés

  19. 4 out of 5

    Lee

  20. 5 out of 5

    Norma Chow

  21. 4 out of 5

    Jordi Torras

  22. 5 out of 5

    Karyn Crouse

  23. 5 out of 5

    anthony wheeler

  24. 5 out of 5

    Naomi

  25. 5 out of 5

    Gabriel Ana

  26. 5 out of 5

    John Penney

  27. 5 out of 5

    Anim Mina

  28. 5 out of 5

    Ulf

  29. 5 out of 5

    Lisa Nguyen

  30. 4 out of 5

    Mehul Raina

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