Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:An Introduction To Machine LearningISBN13:9783319348865ISBN10:3319348868Author:Kubat, Miroslav (Author)Description:This Book Presents Basic Ideas Of Machine Learning In A Way That Is Easy To Understand, By Providing Hands-On Practical Advice, Using Simple Examples, And Motivating Students With Discussions Of Interesting Applications The Main Topics Include Bayesian Classifiers, Nearest-Neighbor Classifiers, Linear And Polynomial Classifiers, Decision Trees, Neural Networks, And Support Vector Machines Later Chapters Show How To Combine These Simple Tools By Way Of Boosting, How To Exploit Them In More Complicated Domains, And How To Deal With Diverse Advanced Practical Issues One Chapter Is Dedicated To The Popular Genetic Algorithms Binding:Paperback, PaperbackPublisher:SPRINGER NATUREPublication Date:2016-10-15Weight:0.96 lbsDimensions:0.65'' H x 9.21'' L x 6.14'' WNumber of Pages:291Language:English
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Location: USA
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Book Title: An Introduction To Machine Learning
Item Length: 9.2in
Item Height: 0.6in
Item Width: 6.1in
Author: Miroslav Kubat
Publication Name: Introduction to Machine Learning
Format: Trade Paperback
Language: English
Publisher: Springer International Publishing A&G
Publication Year: 2016
Type: Textbook
Item Weight: 165.3 Oz
Number of Pages: Xiii, 291 Pages
