9780367562854-0367562855-Industry 4.0, AI, and Data Science: Research Trends and Challenges (Demystifying Technologies for Computational Excellence)

Industry 4.0, AI, and Data Science: Research Trends and Challenges (Demystifying Technologies for Computational Excellence)

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Summary

Industry 4.0, AI, and Data Science: Research Trends and Challenges (Demystifying Technologies for Computational Excellence) (ISBN-13: 9780367562854 and ISBN-10: 0367562855), written by authors Narendra Kumar, Vikram Bali, Kakoli Banerjee, Sanjay Gour, Sunil Kumar Chawla, was published by CRC Press in 2021. With an overall rating of 3.6 stars, it's a notable title among other Environmental Economics (Economics, Information Management, Processes & Infrastructure, Operations Research, AI & Machine Learning, Computer Science, Data Mining, Databases & Big Data, Electrical & Electronics, Engineering, Pure Mathematics, Mathematics, Technology) books. You can easily purchase or rent Industry 4.0, AI, and Data Science: Research Trends and Challenges (Demystifying Technologies for Computational Excellence) (Hardcover) from BooksRun, along with many other new and used Environmental Economics books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

"The aim of this book is to provide insight into Data Science and Artificial Learning Techniques based on Industry 4.0, conveys how Machine Learning & Data Science are becoming an essential part of industrial and academic research. Varying from healthcare to social networking and everywhere hybrid models for Data Science, Al, and Machine Learning are being used. The book describes different theoretical and practical aspects and highlights how new systems are being developed. Along with focusing on the research trends, challenges and future of AI in Data Science, the book explores the potential for integration of advanced AI algorithms, addresses the challenges of Data Science for Industry 4.0, covers different security issues, includes qualitative and quantitative research, and offers case studies with working models. This book also provides an overview of AI and Data Science algorithms for readers who do not have a strong mathematical background. Undergraduates, postgraduates, academicians, researchers, and industry professionals will benefit from this book and use it as a guide"--

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