Ai Augmented Data Scientist
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AI-Augmented Data Scientist
AI-Augmented Data Scientist: How to Use Artificial Intelligence for Predictive Analytics, Machine Learning Models, and Big Data Insights Are you drowning in data and deadlines—while AI-powered competitors surge ahead? You're not alone. The world of data science is changing faster than most can keep up. Companies are no longer just using AI to support analysts—they're amplifying their top talent , automating the mundane, and unlocking insights at lightning speed. Inside this book, you’ll discover how to stop fighting the future—and start leading it. From automating data prep with LLMs , to building smarter models with AI-driven code , all the way to explaining results like a pro and staying ethically sharp , this book gives you the blueprint to become the new breed of data scientist: AI-augmented, ultra-productive, and relentlessly strategic . No fluff. No theory. Just real tools, real workflows, and real results. If you want to stay relevant, valuable, and ahead of the curve—this book is your edge.
Data Science & Exploration in Artificial Intelligence
The book captures the essence of the International Conference on Data Science & Exploration in Artificial Intelligence and offers a comprehensive exploration of cutting-edge research in AI, data science, and their applications. It covers a wide array of topics including advanced Data Science, IoT, Security, Cloud Computing, Networks, Security, Image, Video and Signal Processing, Computational Biology, Computer and Information Technology. It highlights innovative research contributions and practical applications, offering readers a detailed understanding of current trends and challenges. The findings emphasize the role of global collaboration and interdisciplinary approaches in pushing the boundaries of AI and data science. Selected papers published by Taylor and Francis showcase pioneering work that is shaping the future of these fields. This is an ideal read for AI and data science researchers, industry professionals, and students seeking to stay updated on the latest advancements and ethical considerations in these areas.
Artificial Intelligence and Data Science Engineering
Author: Dr.Ravi Kumar Saidala
language: en
Publisher: Leilani Katie Publication
Release Date: 2024-07-13
Dr.Ravi Kumar Saidala, Associate Professor, Department of Computer Science and Engineering (Data Science), CMR University, Bangalore, Karnataka, India. Dr.D.Usha Rani, Associate Professor, Department of Computer Science and Applications, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India. Ms.Indu.B, Assistant Professor, Department of Computer Science Engineering, Dayananda Sagar Academy of Technology and Management (DSATM), Bangalore, Karnataka, India. Dr.Shanthala.P.T, Assistant Professor, Department of Computer Science Engineering, PES University, Bangalore, Karnataka, India.