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Artificial Intelligence Nowadays

Bag om Artificial Intelligence Nowadays

"Artificial Intelligence" is a comprehensive exploration of the cutting-edge field that is reshaping our world. Authored by leading experts in the field, this book offers a clear and accessible introduction to the fundamental concepts, techniques, and applications of AI. From the foundational principles of machine learning and neural networks to advanced topics such as natural language processing and computer vision, this book covers it all. Readers will embark on a journey through the fascinating realms of self-learning algorithms, intelligent agents, and autonomous systems. Practical examples and real-world case studies demonstrate how AI is revolutionizing industries like healthcare, finance, and transportation. Moreover, the book delves into the ethical considerations surrounding AI, addressing issues of bias, transparency, and accountability.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9798223421214
  • Indbinding:
  • Paperback
  • Sideantal:
  • 64
  • Udgivet:
  • 15. september 2023
  • Størrelse:
  • 140x4x216 mm.
  • Vægt:
  • 94 g.
Leveringstid: 2-4 uger
Forventet levering: 13. november 2024

Beskrivelse af Artificial Intelligence Nowadays

"Artificial Intelligence" is a comprehensive exploration of the cutting-edge field that is reshaping our world. Authored by leading experts in the field, this book offers a clear and accessible introduction to the fundamental concepts, techniques, and applications of AI. From the foundational principles of machine learning and neural networks to advanced topics such as natural language processing and computer vision, this book covers it all.

Readers will embark on a journey through the fascinating realms of self-learning algorithms, intelligent agents, and autonomous systems. Practical examples and real-world case studies demonstrate how AI is revolutionizing industries like healthcare, finance, and transportation. Moreover, the book delves into the ethical considerations surrounding AI, addressing issues of bias, transparency, and accountability.

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