How AI Works: From Sorcery to Science - Couverture souple

Kneusel, Ronald T.

 
9781718503724: How AI Works: From Sorcery to Science
Couverture souple
ISBN 10 : 1718503725 ISBN 13 : 9781718503724
Editeur : No Starch Press, 2023

Synopsis

AI isn’t magic. How AI Works demystifies the explosion of artificial intelligence by explaining—without a single mathematical equation—what happened, when it happened, why it happened, how it happened, and what AI is actually doing "under the hood."

Artificial intelligence is everywhere—from self-driving cars, to image generation from text, to the unexpected power of language systems like ChatGPT—yet few people seem to know how it all really works. How AI Works unravels the mysteries of artificial intelligence, without the complex math and unnecessary jargon.

You’ll learn:

  • The relationship between artificial intelligence, machine learning, and deep learning
  • The history behind AI and why the artificial intelligence revolution is happening now
  • How decades of work in symbolic AI failed and opened the door for the emergence of neural networks
  • What neural networks are, how they are trained, and why all the wonder of modern AI boils down to a simple, repeated unit that knows how to multiply input numbers to produce an output number.
  • The implications of large language models, like ChatGPT and Bard, on our society—nothing will be the same again

AI isn’t magic. If you’ve ever wondered how it works, what it can do, or why there’s so much hype, How AI Works will teach you everything you want to know.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l'auteur

Ronald T. Kneusel is a data scientist who builds deep-learning (AI) systems, as well as extensive experience with medical imaging and the development of medical devices. He earned a PhD in machine learning from the University of Colorado, Boulder, has nearly 20 years of machine learning experience in industry, and is presently pursuing deep-learning projects with L3Harris Technologies, Inc. Kneusel is also the author of Random Numbers and Computers (Springer 2018), in addition to Math for Deep Learning, Practical Deep Learning, Strange Code, and The Art of Randomness—all published by No Starch Press.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
No Starch Press
Date d'édition
2023
Langue
anglais
ISBN 10 
1718503725
ISBN 13 
9781718503724
Reliure
Broché
Numéro d'édition
1
Nombre de pages
192
Coordonnées du fabricant
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