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

£1.90

Please note that the fourth edition of this book is now available. This older edition is being “given away” at the lowest possible price.

Artificial Intelligence and Machine Learning for Business cuts through the 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. His other books, published by Palgrave Macmillan, include:

  • 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.

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EAN: 2000000237909 SKU: 6F7E1BAB Category:

Additional information

Publisher

2nd edition (27 May 2017), Relativistic

Language

English

File size

3838 KB

Text-to-Speech

Enabled

Screen Reader

Supported

Enhanced typesetting

Enabled

X-Ray

Not Enabled

Word Wise

Enabled

Sticky notes

On Kindle Scribe

Print length

152 pages

Average Rating

4.50

08
( 8 Reviews )
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3 Star
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8 Reviews For This Product

  1. 08

    by Mark Shackelford

    Brief overview, a fair introduction but not much depth

  2. 08

    by Darren McBride

    A very pragmatic and real world approach. The author really takes the time to highlight business applications for a subject that is going to revolutionise the way we make decisions in all aspects of our life. Don’t get left behind, read it!

  3. 08

    by Richard J Kiddle

    The book explains all the key concepts clearly and in plain English. The author tells when to use and not use the different machine learning techniques.

  4. 08

    by Lee

    This book truly is a masterpiece. The author does a great job of explaining AI in a way that anyone can understand it. Not only that, but he shows how it can be used in a real way. If you want to get a handle on scorecards, decision trees and neural networks then this is a great start. The book can be easily read within a couple of hours and you will finish it knowing a lot more than when you began. I have read quite a few books lately on AI and, although they are all good, this is the one I’d recommend to start with. Very practical and excellent value for money.

  5. 08

    by tsunamiccc

    till reading it

  6. 08

    by KP

    very interesting read.

  7. 08

    by Hector

    very helpful, thank you

    would have liked a worked example of say Python, just to see how it is done

  8. 08

    by Marcus Brennan

    Excellent book for a senior management team. I’m CEO at my company and I believe in the benefits of AI and I wanted to introduce AI to the organisation but I was conscious of the fears people have in relation to that. As such I wanted but in from top down management and I bought the whole team this book and gave them two weeks homework to come back with their own thoughts on how AI could benefit their area and the company as a whole. In doing so they owned the ideas and became champions of AI. I selected this book because it is a to hour read and it’s pitched at just the right level of technical detail to give a good appreciation but also to be digestible by non technical members of the team. Great book.

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