Deep Learning in Engineering, Energy and Finance

Principals and Applications

By: Vivek S. Sharma (Editor), Shubham Mahajan (Editor), Anand Nayyar (Editor), Amit Kant Pandit (Editor)

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eText | 26 December 2024 | Edition Number 1

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Unlock the transformative potential of deep learning in your professional and academic endeavors with Deep Learning in Engineering, Energy and Finance: Principals and Applications. This comprehensive guide seamlessly bridges the gap between theoretical concepts and practical implementations, providing you with the knowledge and tools to revolutionize industries and drive innovation. Delve into real-world applications and cutting-edge research that showcase how deep learning is redefining engineering processes, optimizing energy systems, and reshaping financial markets.

This book:

Explores deep learning applications across engineering, energy, and finance, highlighting diverse use cases and industry-specific challenges.
Discovers how deep learning is driving breakthroughs in predictive maintenance, energy optimization, algorithmic trading, and risk management.
Illustrates all the concepts connected to Deep Learning from head and heart with real-time practical examples and case studies.
Stresses on skills needed to tackle future challenges, with a focus on emerging deep learning technologies oriented towards Solar Energy, SOM's, Stock Market, Speech Technology and Many more.

Whether you're a student eager to explore the latest advancements or a seasoned R&D professional seeking to enhance your skill set, this book offers invaluable insights and practical guidance to elevate your expertise.