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This volume takes the reader on a technological voyage of machine learning advancements, highlighting the systematic changes in algorithms, challenges, and constraints. The technological advancements in the ML arena have transformed and revolutionized several fields, including transportation, agriculture, finance, weather monitoring, and others. This book brings together researchers, authors, industrialists, and academicians to cover a vast selection of topics in ML, starting with the rudiments of machine learning approaches and going on to specific applications in healthcare and industrial automation.
The book begins with an overview of the ethics, security and privacy issues, future directions, and challenges in machine learning as well as a systematic review of deep learning techniques and provides an understanding of building generative adversarial networks. Chapters explore predictive data analytics for health issues. The book also adds a macro dimension by highlighting the industrial applications of machine learning, such as in the steel industry, for urban information retrieval, in garbage detection, in measuring air pollution, for stock market predictions, for underwater fish detection, as a fake news predictor, and more.
Abbreviations
Rudiments of Machine Learning Approaches
Ethics in AI in Machine Learning
Advances in Artificial Intelligence Models for Providing Security and Privacy Using Machine Learning Technique
A Systematic Review of Deep Learning Techniques for Semantic Image Segmentation: Methods, Future Directions, and Challenges
Covariate Shift in Machine Learning
Understanding and Building Generative Adversarial Networks
Application of Machine Learning in Healthcare
Machine Learning in Healthcare: Applications, Current Status, and Future Prospects
Employing Machine Learning for Predictive Data Analytics in Healthcare
Prediction of Heart Disease Using Machine Learning
Detection of Infectious Diseases in Human Bodies by Using Machine Learning Algorithms
Medical Review Analytics Using Social Media
Time Series Forecasting Techniques for Infectious Disease Prediction
Towards Industrial Automation Through Machine Learning
Machine Learning in the Steel Industry
Experiments Synergizing Machine Learning Approaches with Geospatial Big Data for Improved Urban Information Retrieval
Garbage Detection Using SURF Algorithm Based on Merchandise Marker
Evolution of Long Short-Term Memory (LSTM) in Air Pollution Forecasting
Application of Machine Learning in Stock Market Prediction
Deep Learning Model for Stochastic Analysis and Time-Series Forecasting of Indian Stock Market
Enhanced Fish Detection in Underwater Video Using Wavelet-Based Color Correction and Machine Learning
Fake News Predictor Model-Based on Machine Learning and Natural Language Processing
Machine Learning on Simulation Tools for Underwater Sensor Network
Prediction and Analysis of Heritage Monuments Images Using Machine Learning Techniques