|
Showing 1 - 1 of
1 matches in All Departments
Data science is a highly interdisciplinary field, incorporating
ideas from applied mathematics, statistics, probability, and
computer science, as well as many other areas. This book gives an
introduction to the mathematical methods that form the foundations
of machine learning and data science, presented by leading experts
in computer science, statistics, and applied mathematics. Although
the chapters can be read independently, they are designed to be
read together as they lay out algorithmic, statistical, and
numerical approaches in diverse but complementary ways. This book
can be used both as a text for advanced undergraduate and beginning
graduate courses, and as a survey for researchers interested in
understanding how applied mathematics broadly defined is being used
in data science. It will appeal to anyone interested in the
interdisciplinary foundations of machine learning and data science.
|
You may like...
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
Poor Things
Emma Stone, Mark Ruffalo, …
DVD
R357
Discovery Miles 3 570
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.