Machine Learning Paradigms: Theory and Application

Nonfiction, Computers, Advanced Computing, Engineering, Computer Vision, Artificial Intelligence, General Computing
Cover of the book Machine Learning Paradigms: Theory and Application by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783030023577
Publisher: Springer International Publishing Publication: December 8, 2018
Imprint: Springer Language: English
Author:
ISBN: 9783030023577
Publisher: Springer International Publishing
Publication: December 8, 2018
Imprint: Springer
Language: English

The book focuses on machine learning. Divided into three parts, the first part discusses the feature selection problem. The second part then describes the application of machine learning in the classification problem, while the third part presents an overview of real-world applications of swarm-based optimization algorithms.

 

The concept of machine learning (ML) is not new in the field of computing. However, due to the ever-changing nature of requirements in today’s world it has emerged in the form of completely new avatars. Now everyone is talking about ML-based solution strategies for a given problem set. The book includes research articles and expository papers on the theory and algorithms of machine learning and bio-inspiring optimization, as well as papers on numerical experiments and real-world applications.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

The book focuses on machine learning. Divided into three parts, the first part discusses the feature selection problem. The second part then describes the application of machine learning in the classification problem, while the third part presents an overview of real-world applications of swarm-based optimization algorithms.

 

The concept of machine learning (ML) is not new in the field of computing. However, due to the ever-changing nature of requirements in today’s world it has emerged in the form of completely new avatars. Now everyone is talking about ML-based solution strategies for a given problem set. The book includes research articles and expository papers on the theory and algorithms of machine learning and bio-inspiring optimization, as well as papers on numerical experiments and real-world applications.

More books from Springer International Publishing

Cover of the book Making Career Stories by
Cover of the book Applied Reconfigurable Computing. Architectures, Tools, and Applications by
Cover of the book Mechanism and Theory in Food Chemistry, Second Edition by
Cover of the book Cord Blood Transplantations by
Cover of the book Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries by
Cover of the book Environment and Earth Observation by
Cover of the book Advanced Microsystems for Automotive Applications 2017 by
Cover of the book Health Literacy and Child Health Outcomes by
Cover of the book Getting It Right in Science and Medicine by
Cover of the book Emergence and Modularity in Life Sciences by
Cover of the book Advances in Spatial Data Handling and Analysis by
Cover of the book Algorithms and Models for the Web Graph by
Cover of the book Transport Properties in Non-Equilibrium and Anomalous Systems by
Cover of the book Space and Food in the City by
Cover of the book Exercises and Problems in Mathematical Methods of Physics by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy