Handbook of Research on Applications and Implementations of Machine Learning Techniques - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Research on Applications and Implementations of Machine Learning Techniques write by Sathiyamoorthi Velayutham. This book was released on 2020. Handbook of Research on Applications and Implementations of Machine Learning Techniques available in PDF, EPUB and Kindle.
Handbook of Research on Applications and Implementations of Machine Learning Techniques
Handbook of Research on Applications and Implementations of Machine Learning Techniques - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Research on Applications and Implementations of Machine Learning Techniques write by Sathiyamoorthi Velayutham. This book was released on 2019-07. Handbook of Research on Applications and Implementations of Machine Learning Techniques available in PDF, EPUB and Kindle. "This book examines the practical applications and implementation of various machine learning techniques in various fields such as agriculture, medical, image processing, and networking"--
Handbook of Research on Emerging Trends and Applications of Machine Learning
Handbook of Research on Emerging Trends and Applications of Machine Learning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Research on Emerging Trends and Applications of Machine Learning write by Solanki, Arun. This book was released on 2019-12-13. Handbook of Research on Emerging Trends and Applications of Machine Learning available in PDF, EPUB and Kindle. As today’s world continues to advance, Artificial Intelligence (AI) is a field that has become a staple of technological development and led to the advancement of numerous professional industries. An application within AI that has gained attention is machine learning. Machine learning uses statistical techniques and algorithms to give computer systems the ability to understand and its popularity has circulated through many trades. Understanding this technology and its countless implementations is pivotal for scientists and researchers across the world. The Handbook of Research on Emerging Trends and Applications of Machine Learning provides a high-level understanding of various machine learning algorithms along with modern tools and techniques using Artificial Intelligence. In addition, this book explores the critical role that machine learning plays in a variety of professional fields including healthcare, business, and computer science. While highlighting topics including image processing, predictive analytics, and smart grid management, this book is ideally designed for developers, data scientists, business analysts, information architects, finance agents, healthcare professionals, researchers, retail traders, professors, and graduate students seeking current research on the benefits, implementations, and trends of machine learning.
Handbook of Research on Machine Learning
Handbook of Research on Machine Learning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Research on Machine Learning write by Monika Mangla. This book was released on 2022-08-04. Handbook of Research on Machine Learning available in PDF, EPUB and Kindle. 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.
Handbook of Deep Learning Applications
Handbook of Deep Learning Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Deep Learning Applications write by Valentina Emilia Balas. This book was released on 2019-02-25. Handbook of Deep Learning Applications available in PDF, EPUB and Kindle. This book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary object recognition, driverless cars, semantic image segmentation, deep visual residual abstraction, brain–computer interfaces, big data processing, hierarchical deep learning networks as game-playing artefacts using regret matching, and building GPU-accelerated deep learning frameworks. Deep learning, an advanced level of machine learning technique that combines class of learning algorithms with the use of many layers of nonlinear units, has gained considerable attention in recent times. Unlike other books on the market, this volume addresses the challenges of deep learning implementation, computation time, and the complexity of reasoning and modeling different type of data. As such, it is a valuable and comprehensive resource for engineers, researchers, graduate students and Ph.D. scholars.
