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Practical applications and implementations of machine learning techniques / Sathiyamoorthi Velayutham, editor. — 1 online resource (29 PDFs (461 pages)) — <URL:http://elib.fa.ru/ebsco/2216969.pdf>.

Record create date: 8/8/2019

Subject: Machine learning — Industrial applications.

Collections: EBSCO

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

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Table of Contents

  • Title Page
  • Copyright Page
  • Book Series
  • List of Contributors
  • Table of Contents
  • Detailed Table of Contents
  • Preface
  • Acknowledgment
  • 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
  • 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
  • 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
  • Chapter 21: Programming Language Support for Implementing Machine Learning Algorithms
  • Compilation of References
  • About the Contributors
  • Index

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