The Handbook on Computer Learning and Intelligence is a second
edition which aims to be a one-stop-shop for the various aspects of
the broad research area of computer learning and intelligence. This
field of research evolved so much in the last five years that it
necessitates this new edition of the earlier Handbook on
Computational Intelligence.This two-volume handbook is divided into
five parts. Volume 1 covers Explainable AI and Supervised Learning.
Volume 2 covers three parts: Deep Learning, Intelligent Control,
and Evolutionary Computation. The chapters detail the theory,
methodology and applications of computer learning and intelligence,
and are authored by some of the leading experts in the respective
areas. The fifteen core chapters of the previous edition have been
written and significantly refreshed by the same authors. Parts of
the handbook have evolved to keep pace with the latest developments
in computational intelligence in the areas that span across Machine
Learning and Artificial Intelligence. The Handbook remains
dedicated to applications and engineering-orientated aspects of
these areas over abstract theories.Related Link(s)
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