Machine 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...
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| Other Authors | , , |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
Berlin ; Boston :
Walter de Gruyter GmbH,
[2020]
|
| Series | De Gruyter frontiers in computational intelligence ;
5. |
| Subjects | |
| Online Access | Full text |
| ISBN | 9783110610987 3110610981 3110608669 9783110608663 9783110608533 3110608537 |
| Physical Description | 1 online resource (x, 135 pages) |
Cover
Table of 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