Ripple-Down Rules: The Alternative to Machine Learning (Chapman and Hall)

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.



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