Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:An Introduction To Machine LearningISBN13:9783030819347ISBN10:3030819345Author:Kubat, Miroslav (Author)Description:This Textbook Offers A Comprehensive Introduction To Machine Learning Techniques And Algorithms This Third Edition Covers Newer Approaches That Have Become Highly Topical, Including Deep Learning, And Auto-Encoding, Introductory Information About Temporal Learning And Hidden Markov Models, And A Much More Detailed Treatment Of Reinforcement Learning The Book Is Written In An Easy-To-Understand Manner With Many Examples And Pictures, And With A Lot Of Practical Advice And Discussions Of Simple Applications The Main Topics Include Bayesian Classifiers, Nearest-Neighbor Classifiers, Linear And Polynomial Classifiers, Decision Trees, Rule-Induction Programs, Artificial Neural Networks, Support Vector Machines, Boosting Algorithms, Unsupervised Learning (Including Kohonen Networks And Auto-Encoding), Deep Learning, Reinforcement Learning, Temporal Learning (Including Long Short-Term Memory), Hidden Markov Models, And The Genetic Algorithm Special Attention Is Devoted To Performance Evaluation, Statistical Assessment, And To Many Practical Issues Ranging From Feature Selection And Feature Construction To Bias, Context, Multi-Label Domains, And The Problem Of Imbalanced Classes Binding:Hardcover, HardcoverPublisher:SpringerPublication Date:2021-10-18Weight:0 lbsDimensions:Number of Pages:430Language:English
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Book Title: An Introduction To Machine Learning
Item Length: 9.3in
Item Width: 6.1in
Author: Miroslav Kubat
Publication Name: Introduction to Machine Learning
Format: Hardcover
Language: English
Publisher: Springer International Publishing A&G
Publication Year: 2021
Type: Textbook
Item Weight: 30.9 Oz
Number of Pages: Xviii, 458 Pages