Recent Developments in Machine Learning and Data Analytics - IC3 2018 (Paperback, 1st ed. 2019)


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.

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Product Description

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.

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Product Details

General

Imprint

Springer Verlag, Singapore

Country of origin

Singapore

Series

Advances in Intelligent Systems and Computing, 740

Release date

September 2018

Availability

Expected to ship within 10 - 15 working days

First published

2019

Editors

, , ,

Dimensions

235 x 155mm (L x W)

Format

Paperback

Pages

530

Edition

1st ed. 2019

ISBN-13

978-981-13-1279-3

Barcode

9789811312793

Categories

LSN

981-13-1279-6



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