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.

chapter 3|11 pages

Data Science and AI for E-Governance

A Step towards Society 5.0

chapter 6|19 pages

Artificial Intelligence

The New Expert in Medical Treatment

chapter 9|12 pages

Cyber Security

An Approach to Secure IoT from Cyber Attacks Using Deep Learning

chapter 12|17 pages

A Comparison of Different Consensus Protocols

The Backbone of the Blockchain Technology

chapter 13|23 pages

Blockchain in AI

Review of Decentralized Smart System

chapter 14|10 pages

Financial Portfolio Optimization

An AI Based Decision-Making Approach