Handbook of research on applications and implementations of machine learning techniques /

Bibliographic Details
Main Author:	Velayutham, Sathiyamoorthi, 1983- (Author)
Corporate Author:	IGI Global Online
Format:	eBook
Language:	English
Published:	Hershey, PA : IGI Global, [2020]
Series:	Advances in computational intelligence and robotics (ACIR) book series.
Subjects:	Machine learning > Industrial applications. Electronic books.
Online Access:	Connect to the full text of this electronic book

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.