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 Tensor Calculus for Engineers and Physicists by
Cover of the book Spatial Modeling and Assessment of Urban Form by
Cover of the book Speech and Computer by
Cover of the book Empathy in Health Professions Education and Patient Care by
Cover of the book Advances and New Trends in Environmental Informatics by
Cover of the book Risk Assessment of Storms in Coastal Zones: Case Studies from Cartagena (Colombia) and Cadiz (Spain) by
Cover of the book Direct Licensing and the Music Industry by
Cover of the book Imaging Non-traumatic Abdominal Emergencies in Pediatric Patients by
Cover of the book Knowledge Spillovers in Regional Innovation Systems by
Cover of the book Cultural Heritage as Civilizing Mission by
Cover of the book Intimacies, Citizenship and Refugee Men by
Cover of the book Perspectives on the Archaeology of Pipes, Tobacco and other Smoke Plants in the Ancient Americas by
Cover of the book The Magic of Coin-Trees from Religion to Recreation by
Cover of the book Space and Food in the City by
Cover of the book Towards Dual and Targeted Cancer Therapy with Novel Phthalocyanine-based Photosensitizers 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