Handbook of Research on Emerging Trends and Applications of Machine Learning

Handbook of Research on Emerging Trends and Applications of Machine Learning

Copyright: © 2020 |Pages: 674
ISBN13: 9781522596431|ISBN10: 1522596437|ISBN13 Softcover: 9781522596448|EISBN13: 9781522596455
DOI: 10.4018/978-1-5225-9643-1
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MLA

Solanki, Arun, et al., editors. Handbook of Research on Emerging Trends and Applications of Machine Learning. IGI Global, 2020. https://doi.org/10.4018/978-1-5225-9643-1

APA

Solanki, A., Kumar, S., & Nayyar, A. (Eds.). (2020). Handbook of Research on Emerging Trends and Applications of Machine Learning. IGI Global. https://doi.org/10.4018/978-1-5225-9643-1

Chicago

Solanki, Arun, Sandeep Kumar, and Anand Nayyar, eds. Handbook of Research on Emerging Trends and Applications of Machine Learning. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-5225-9643-1

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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.

Table of Contents

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Front Materials
Title Page
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Copyright Page
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Advances in Computational Intelligence and Robotics (ACIR) Book Series
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Editorial Advisory Board
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Foreword
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Preface
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Chapters
Back Materials
Compilation of References
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About the Contributors
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Index
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