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Advances and Prospect of Big Data Analytics, Artificial Intelligence, Machine Learning and Deep Learning

Bag om Advances and Prospect of Big Data Analytics, Artificial Intelligence, Machine Learning and Deep Learning

The book entitled"Advancement and Prospect of Big Data Analytics, Artificial Intelligence, Machine Learning and Deep Learning" is compiled aiming to keep abreast with the latest technological trends for future generation of job seekers. The book with the following chapters is likely to give present scenario technological advancement as well as outlook to be adopted by stakeholders. Chapter 1: Big Data Trend Chapter2: Machine Learning Chapter-3: Artificial Intelligence Chapter-4: Deep Learning Chapter-5: Difference between Artificial Intelligence, Machine Learning, and Deep Learning? With the above chapters, the book may clarify and answer many questions like Why Is AI Taking off Now? What are the Deep Learning Tools that Drive AI Advancement? How deep learning is a new software model that needs a new computing model? Why AI researchers have adopted GPU-accelerated computing? How AI, Machine Learning and Deep Learning are close but not the same? How Personalized medicine will soon become a reality? Why Data is abundant and cheap but knowledge is scarce and expensive? Why data is the sword of the 21st century? Why there is a high demand for Data scientists? A thorough reading of the book is expected to enrich understanding about AI, Machine, Deep learning and Big Data Analytics for skill development to equip oneself for 21st century jobs

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781975918637
  • Indbinding:
  • Paperback
  • Sideantal:
  • 300
  • Udgivet:
  • 31. august 2017
  • Størrelse:
  • 152x229x16 mm.
  • Vægt:
  • 404 g.
  • 8-11 hverdage.
  • 11. december 2024
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Forlænget returret til d. 31. januar 2025

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Beskrivelse af Advances and Prospect of Big Data Analytics, Artificial Intelligence, Machine Learning and Deep Learning

The book entitled"Advancement and Prospect of Big Data Analytics, Artificial Intelligence, Machine Learning and Deep Learning" is compiled aiming to keep abreast with the latest technological trends for future generation of job seekers. The book with the following chapters is likely to give present scenario technological advancement as well as outlook to be adopted by stakeholders. Chapter 1: Big Data Trend Chapter2: Machine Learning Chapter-3: Artificial Intelligence Chapter-4: Deep Learning Chapter-5: Difference between Artificial Intelligence, Machine Learning, and Deep Learning? With the above chapters, the book may clarify and answer many questions like Why Is AI Taking off Now? What are the Deep Learning Tools that Drive AI Advancement? How deep learning is a new software model that needs a new computing model? Why AI researchers have adopted GPU-accelerated computing? How AI, Machine Learning and Deep Learning are close but not the same? How Personalized medicine will soon become a reality? Why Data is abundant and cheap but knowledge is scarce and expensive? Why data is the sword of the 21st century? Why there is a high demand for Data scientists? A thorough reading of the book is expected to enrich understanding about AI, Machine, Deep learning and Big Data Analytics for skill development to equip oneself for 21st century jobs

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