Practical applications and implementations of machine learning techniques

Practical applications and implementations of machine learning techniques

"This book examines the practical applications and implementation of various machine learning techniques in various fields such as agriculture, medical, image processing, and networking"--

Bibliographic Details
Other Authors: Velayutham, Sathiyamoorthi, 1983-
Format: eBook
Language:English
Published: Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global, [2020]
Subjects:
Machine learning > Industrial applications.
EBSCO eBooks
Electronic books.
Online Access:EBSCOhost
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Table of Contents:
  • Chapter 1. Analysis of machine learning algorithms for breast cancer detection
  • Chapter 2. Cognitive-based cover image selection in image steganography
  • Chapter 3. Disease identification in plant leaf using deep convolutional neural networks
  • Chapter 4. Genetically-modified K-medoid clustering algorithm for heterogeneous data set
  • Chapter 5. Implementation of deep learning neural network for retinal images
  • Chapter 6. Intensity inhomogeneity correction in brain MR images based on filtering method
  • Chapter 7. Machine learning and its use in e-commerce and e-business
  • Chapter 8. Machine learning in Python: diabetes prediction using machine learning
  • Chapter 9. Medical reports analysis using natural language processing for disease classification
  • Chapter 10. Optimization of evolutionary algorithm using machine learning techniques for pattern mining in transactional database
  • Chapter 11. Prediction of high-risk factors in surgical operations using machine learning techniques
  • Chapter 12. Privacy preserving machine learning and deep learning techniques: application e-healthcare
  • Chapter 13. Trend and predictive analytics of Dengue prevalence in administrative region
  • Chapter 14. Relative analysis on algorithms and applications of deep learning
  • Chapter 15. Application of machine learning techniques in healthcare
  • Chapter 16. Contribution of neural networks in different applications
  • Chapter 17. Introducing the deep learning for digital age
  • Chapter 18. Introduction to machine learning and its implementation techniques
  • Chapter 19. Introduction to the world of artificial intelligence
  • Chapter 20. Machine learning techniques application: social media, agriculture, and scheduling in distributed systems
  • Chapter 21. Programming language support for implementing machine learning algorithms.

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