Description: Machine Learning for Cyber Security (De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences, 15) [Hardcover] Malik, Preeti; Nautiyal, Lata and Ram, Mangey Product Overview This book shows how machine learning (ML) methods can be used to enhance cyber security operations, including detection, modeling, monitoring as well as defense against threats to sensitive data and security systems. Filling an important gap between ML and cyber security communities, it discusses topics covering a wide range of modern and practical ML techniques, frameworks and tools. Read more Details Publisher : De Gruyter; 1st edition (December 5, 2022) Language : English Hardcover : 158 pages ISBN-10 : 3110766736 ISBN-13 : 38 Item Weight : 1.02 pounds Dimensions : 6.69 x 0.44 x 9.61 inches Best Sellers Rank: #8,082,940 in Books (See Top 100 in Books) #1,085 in Computer Algorithms #3,593 in Programming Algorithms #3,824 in Artificial Intelligence (Books) #1,085 in Computer Algorithms #3,593 in Programming Algorithms Stock Photos Please Note: All of our book listings use stock photos unless otherwise stated. Please read our descriptions for accurate conditions and editions, don't use the photos! Free Shipping We ship worldwide. We have multiple warehouses around the world, so please note the extended handling time on certain listings.
Price: 186.67 USD
Location: Williamsburg, Virginia
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ISBN: 3110766736
ISBN10: 3110766736
ISBN13: 9783110766738
EAN: 9783110766738
MPN: does not apply
Brand: De Gruyter
GTIN: 09783110766738
Number of Pages: 158 Pages
Publication Name: Machine Learning for Cyber Security
Language: English
Publisher: DE Gruyter Gmbh, Walter
Publication Year: 2022
Subject: Industries / Computers & Information Technology, Programming / Algorithms, Intelligence (Ai) & Semantics, General
Item Weight: 14.2 Oz
Type: Textbook
Author: Lata Nautiyal
Subject Area: Mathematics, Computers, Business & Economics
Item Length: 9.4 in
Item Width: 6.7 in
Series: De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences Ser.
Format: Hardcover