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Recent Developments in Machine Learning and Data Analytics

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Recent Developments in Machine Learning and Data Analytics Synopsis

This book presents high-quality papers from an international forum for research on computational approaches to learning. It includes current research and findings from various research labs, universities and institutions that may lead to development of marketable products. It also provides solid support for these findings in the form of empirical studies, theoretical analysis, or comparison to psychological phenomena. Further, it features work that shows how to apply learning methods to solve important application problems as well as how machine learning research is conducted. The book is divided into two main parts: Machine Learning Techniques, which covers machine learning-related research and findings; and, Data Analytics, which introduces recent developments in this domain. Additionally, the book includes work on data analytics using machine learning techniques.

 

About This Edition

ISBN: 9789811312793
Publication date:
Author: Jugal Kalita, Valentina Emilia Balas, Samarjeet Borah, Ratika Pradhan
Publisher: Springer an imprint of Springer Nature Singapore
Format: Paperback
Pagination: 530 pages
Series: Advances in Intelligent Systems and Computing
Genres: Artificial intelligence
Expert systems / knowledge-based systems
Computer vision
Data mining