Screen LibraryMachine learning applications : emerging trends /
The publication is attempted to address emerging trends in machine learning applications. Recent trends in information identification have identified huge scope in applying machine learning techniques for gaining meaningful insights. Random growth of unstructured data poses new research challenges t...
Saved in:
| Group Author: | ; ; |
|---|---|
| Published: |
Walter de Gruyter GmbH,
|
| Publisher Address: | Berlin : |
| Publication Dates: | [2020] |
| Literature type: | Book |
| Language: | English |
| Series: |
De Gruyter frontiers in computational intelligence,
volume 5 |
| Subjects: | |
| Summary: |
The publication is attempted to address emerging trends in machine learning applications. Recent trends in information identification have identified huge scope in applying machine learning techniques for gaining meaningful insights. Random growth of unstructured data poses new research challenges to handle this huge source of information. Efficient designing of machine learning techniques is the need of the hour. Recent literature in machine learning has emphasized on single technique of information identification. Huge scope exists in developing hybrid machine learning models with reduced |
| Carrier Form: | x, 135 pages : illustrations (some color), forms ; 25 cm. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: |
9783110608533 (hardback) : 3110608537 (hardback) 9783110610987 (electronic book) 3110610981 (electronic book) 9783110608663 (electronic book) 3110608669 (electronic book) |
| Index Number: | Q325 |
| CLC: | TP181 |
| Call Number: | TP181/M149-16 |
| Contents: |
Frontmatter -- Dedication -- Preface -- Inhalt -- 1 A prologue to Emerging trends in Machine Learning -- 2 An Analysis on Non-linear Dimension Reduction Techniques -- 3 Application of Machine Learning in Music Analytics -- 4 A Comparative Analysis of Machine Learning Techniques for Odia Character Recognition -- 5 Pre Filtering with Rule Mining for Context Based Recommendation System -- 6 Early detection of crop diseases using machine Learning based intelligent techniques: a review -- 7 Conclusion -- Contributing authors -- Index |