The emphasis of the book is on the question of Why - only if why an
algorithm is successful is understood, can it be properly applied,
and the results trusted. Algorithms are often taught side by side
without showing the similarities and differences between them. This
book addresses the commonalities, and aims to give a thorough and
in-depth treatment and develop intuition, while remaining concise.
This useful reference should be an essential on the bookshelves of
anyone employing machine learning techniques. The author's webpage
for the book can be accessed here.
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