Description

This compendium provides a self-contained
introduction to mathematical analysis in the
field of machine learning and data mining.
The mathematical analysis component of
the typical mathematical curriculum for
computer science students omits these very
important ideas and techniques which are
indispensable for approaching specialized
area of machine learning centered around
optimization such as support vector
machines, neural networks, various types of
regression, feature selection, and clustering.
The book is of special interest to researchers
and graduate students who will benefit from
these application areas discussed in the book.