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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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