Kazan Federal University Digital Repository
Practical applications and implementations of machine learning techniques/ Sathiyamoorthi Velayutham, editor.
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| dc.contributor.author | Velayutham Sathiyamoorthi | |
| dc.date.accessioned | 2024-01-29T21:38:53Z | |
| dc.date.available | 2024-01-29T21:38:53Z | |
| dc.date.issued | 2020 | |
| dc.identifier.citation | Practical applications and implementations of machine learning techniques - 1 online resource (29 PDFs (461 pages)) - URL: https://libweb.kpfu.ru/ebsco/pdf/2216969.pdf | |
| dc.identifier.isbn | 9781522599043 | |
| dc.identifier.isbn | 1522599045 | |
| dc.identifier.uri | https://dspace.kpfu.ru/xmlui/handle/net/179712 | |
| dc.description | Includes bibliographical references and index. | |
| dc.description.abstract | "This book examines the practical applications and implementation of various machine learning techniques in various fields such as agriculture, medical, image processing, and networking"-- | |
| dc.description.tableofcontents | 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. | |
| dc.language | English | |
| dc.language.iso | en | |
| dc.subject.other | Machine learning -- Industrial applications. | |
| dc.subject.other | Electronic books. | |
| dc.title | Practical applications and implementations of machine learning techniques/ Sathiyamoorthi Velayutham, editor. | |
| dc.type | Book | |
| dc.contributor.org | IGI Global, | |
| dc.description.pages | 1 online resource (29 PDFs (461 pages)) | |
| dc.collection | Электронно-библиотечные системы | |
| dc.source.id | EN05CEBSCO05C364 |
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