Ripple-Down Rules: The Alternative to Machine Learning (Chapman and Hall)
Wednesday, 16 June 2021

Successful machine learning depends entirely on the suitability of the data available. This book is about Ripple-Down Rules (RDR), an alternative manual technique for rapidly building AI systems, and puts forward the view that with a human in the loop, RDR is much better able to deal with the limitations of data. Paul Compton and Byeong Ho Kang start by reviewing the problems with data quality and the problems with conventional approaches to incorporating expert human knowledge into AI systems. The central features of a RDR approach are explained, and detailed worked examples are presented for different types of RDR, based on freely available software developed for this book.

<ASIN:0367644320>

 

Author: Paul Compton and Byeong Ho Kang
Publisher: Chapman and Hall
Date: May 2021
Pages: 196
ISBN: 978-0367647667
Print: 0367644320
Kindle: B092KVD3HQ
Audience: developers interested in AI
Level: Intermediate/Advanced
Category: Artificial Intelligence

ripple

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Publisher: Addison-Wesley
Date: July 2019
Pages: 672
ISBN: 978-0135159941
Print: 0135159946
Kindle: B07T93J28B
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Rating: 3
Reviewer: Mike James
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Publisher: Mercury Learning
Pages: 412
ISBN: 978-1683925071
Print: 1683925076
Kindle: B087785GZM
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Rating: 4
Reviewer: Mike James
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