عنوان

Advances in machine learning and data science :

(Number (ISBN

9789811085697

(Number (ISBN

9811085692

Erroneous ISBN

9789811085680

Erroneous ISBN

9811085684

Title Proper

Advances in machine learning and data science :

General Material Designation

[Book]

Other Title Information

recent achievements and research directives /

First Statement of Responsibility

Damodar Reddy Edla, Pawan Lingras, Venkatanareshbabu K., editors.

Place of Publication, Distribution, etc.

Singapore :

Name of Publisher, Distributor, etc.

Springer,

Date of Publication, Distribution, etc.

[2018]

Specific Material Designation and Extent of Item

1 online resource

Series Title

Advances in intelligent systems and computing ;

Volume Designation

v. 705

Text of Note

Includes bibliographical references and index.

Text of Note

Preface -- About the Editors -- Table of Contents -- 38 Papers -- Author Index.

0

Text of Note

The Volume of "Advances in Machine Learning and Data Science - Recent Achievements and Research Directives" constitutes the proceedings of First International Conference on Latest Advances in Machine Learning and Data Science (LAMDA 2017). The 37 regular papers presented in this volume were carefully reviewed and selected from 123 submissions. These days we find many computer programs that exhibit various useful learning methods and commercial applications. Goal of machine learning is to develop computer programs that can learn from experience. Machine learning involves knowledge from various disciplines like, statistics, information theory, artificial intelligence, computational complexity, cognitive science and biology. For problems like handwriting recognition, algorithms that are based on machine learning out perform all other approaches. Both machine learning and data science are interrelated. Data science is an umbrella term to be used for techniques that clean data and extract useful information from data. In field of data science, machine learning algorithms are used frequently to identify valuable knowledge from commercial databases containing records of different industries, financial transactions, medical records, etc. The main objective of this book is to provide an overview on latest advancements in the field of machine learning and data science, with solutions to problems in field of image, video, data and graph processing, pattern recognition, data structuring, data clustering, pattern mining, association rule based approaches, feature extraction techniques, neural networks, bio inspired learning and various machine learning algorithms.

Source for Acquisition/Subscription Address

Springer Nature

Stock Number

com.springer.onix.9789811085697

Title

ADVANCES IN MACHINE LEARNING AND DATA SCIENCE.

International Standard Book Number

9789811085680

Parallel Title

LAMDA 2017

Machine learning, Congresses.

Artificial intelligence.

Business mathematics & systems.

COMPUTERS-- General.

Data mining.

Databases.

Machine learning.

COM-- 000000

UYQ

Number

Edition

Class number

International Conference on Latest Advances in Machine Learning and Data Science(2017 :, Goa, India)

Date of Transaction

20200823222759.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y