Publisher's Synopsis
This overview of the artificial intelligence sub-field of machine learning ties together a number of disparate studies within a coherent framework, identifying common themes and significant differences. The book makes good a gap in the literature, where only ultra-technical research reports have kept readers informed of developments taking place: this text takes a strong practical approach, highlighting the "how to do it" aspects of machine learning.;The authors divide the subject into two logical sections. Part 1 forms a wide-ranging introduction to the concepts and methods, with special reference to the development of expert systems. Part 2 delves more deeply, with detailed case studies of learning experiments helping to bring intelligent information retrieval closer to realisation.
