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velayutham s handbook machine learning techniques 2019

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Textbook in PDF format This book examines the practical applications and implementation of various machine learning techniques in various fields such as agriculture, medical, image processing, and networking. Table of Contents Analysis of Machine Learning Algorithms for Breast Cancer Detection Cognitive-Based Cover Image Selection in Image Steganography Disease Identification in Plant Leaf Using Deep Convolutional Neural Networks Genetically-Modified K-Medoid Clustering Algorithm for Heterogeneous Data Set Implementation of Deep Learning Neural Network for Retinal Images Intensity Inhomogeneity Correction in Brain MR Images Based on Filtering Method Machine Learning and Its Use in E-Commerce and E-Business Machine Learning in Python: Diabetes Prediction Using Machine Learning Medical Reports Analysis Using Natural Language Processing for Disease Classification Optimization of Evolutionary Algorithm Using Machine Learning Techniques for Pattern Mining in Transactional Database Prediction of High-Risk Factors in Surgical Operations Using Machine Learning Techniques Privacy Preserving Machine Learning and Deep Learning Techniques: Application – E-Healthcare Trend and Predictive Analytics of Dengue Prevalence in Administrative Region Relative Analysis on Algorithms and Applications of Deep Learning Application of Machine Learning Techniques in Healthcare Contribution of Neural Networks in Different Applications Introducing the Deep Learning for Digital Age Introduction to Machine Learning and Its Implementation Techniques Introduction to the World of Artificial Intelligence Machine Learning Techniques Application: Social Media, Agriculture, and Scheduling in Distributed Systems Programming Language Support for Implementing Machine Learning Algorithms

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Velayutham S. Handbook of Research on Applications...Machine Learning Techniques 2019.pdf 11.9 MB

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velayutham s handbook machine learning techniques 2019