Opening book details…
Can I read Handbook of Research on Machine Learning : Foundations and Applications on EtoBox?
Handbook of Research on Machine Learning : Foundations and Applications by Monika Mangla, Subhash K. Shinde, Vaishali Mehta, Nonita Sharma, Sachi Nandan Mohanty, (eds.) is a nonfiction available to read on EtoBox.
What is Handbook of Research on Machine Learning : Foundations and Applications about?
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 fi
Who reads Handbook of Research on Machine Learning : Foundations and Applications?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Monika Mangla, Subhash K. Shinde, Vaishali Mehta, Nonita Sharma, Sachi Nandan Mohanty, (eds.)
- Publisher
- CRC Press/Apple Academic Press
- Published
- 2022
- Language
- EN
- ISBN
- 9781774638682
- Category
- nonfiction
- Subjects
- Science, Computer Science, Artificial Intelligence (Ai)
More by Monika Mangla, Subhash K. Shinde, Vaishali Mehta, Nonita Sharma, Sachi Nandan Mohanty, (eds.)
Similar books
- Machine Learning for Transportation Research and Applications — Yinhai Wang, Zhiyong Cui, Ruimin Ke (2023)
- Applications of Machine Learning and Deep Learning on Biological Data — Masoodi, Faheem & Quasim, Mohammad & Bukhari, Syed Nisar Hussain & Dixit, Sarvottam & Alam, Shadab (2023)
- Handbook Of Research On Machine Learning Applications and Trends: Algorithms, Methods and Techniques (2 Volumes) — Emilio Soria Olivas, Jose David Martin Guerrero, Marcelino Martinez Sober, Jose Rafael Magdalena Benedito, Antonio Jose Serrano Lopez (2009)
- Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across Industries [by Team-IRA] — Ravindra Kumar Yadav Neha Goel (2023)
- Handbook of Research on Real-time Applications of Machine Learning in Cyber-physical Systems (Advances in Computational Intelligence and Robotics) — Balamurugan Easwaran , Kamal Kant Hiran , Sangeetha Krishnan , Ruchi Doshi (2022)
- Design of Intelligent Applications using Machine Learning and Deep Learning Techniques — Ramchandra Sharad Mangrulkar , Antonis Michalas , Narendra Shekokar , Meera Narvekar , Pallavi Vijay Chavan (2021)