Mathematical Analysis for Machine Learning and Data Mining
| AUTHOR | Dan Simovici; Dan Simovici; Dan Simovici et al. |
| PUBLISHER | World Scientific Publishing Company (07/12/2018) |
| PRODUCT TYPE | Hardcover (Hardcover) |
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. Related Link(s)
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Product Format
Product Details
ISBN-13:
9789813229686
ISBN-10:
9813229683
Binding:
Hardback or Cased Book (Sewn)
Content Language:
English
More Product Details
Page Count:
984
Carton Quantity:
8
Product Dimensions:
6.00 x 2.00 x 9.00 inches
Weight:
3.25 pound(s)
Feature Codes:
Bibliography,
Index
Country of Origin:
SG
Subject Information
BISAC Categories
Computers | Machine Theory
Computers | Data Science - Data Analytics
Computers | Artificial Intelligence - General
Dewey Decimal:
006.310
Library of Congress Control Number:
2018008584
Descriptions, Reviews, Etc.
publisher marketing
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. Related Link(s)
Show More
List Price $374.00
Your Price
$370.26