How AI works From sorcery to science

Ronald T. Kneusel

Book - 2024

"An accessible, straightforward guide that demystifies Artificial Intelligence for a general audience without the use of complex math or technical jargon. Covers the fundamentals, from classical models and neural networks to the large language models leading today's AI revolution"--

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006.3/Kneusel
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2nd Floor New Shelf 006.3/Kneusel (NEW SHELF) Due Nov 13, 2024
Subjects
Genres
Popular works
Published
San Francisco : No Starch Press [2024]
Language
English
Main Author
Ronald T. Kneusel (author)
Physical Description
175 pages : illustrations ; 24 cm
Bibliography
Includes bibliographical references and index.
ISBN
9781718503724
  • And away we go: an AI overview
  • Why now? A history of AI
  • Classical models: old-school machine learning
  • Neural networks: brain-like AI
  • Convolutional neural networks: AI learns to see
  • Generative AI: AI gets creative
  • Large language models: true AI at last?
  • Musings: the implications of AI.
Review by Choice Review

Kneusel is an artificial intelligence (AI) professional and author of several books offering practical applications of concepts like deep learning and randomized algorithms. His latest exploration into AI offers a detailed roadmap for those aiming to deepen their grasp of AI beyond basic theories, focusing on the mechanics underpinning current and past AI technologies. How AI Works strikes a balance between the introductory and the expert levels. It delves into the nuts and bolts of AI systems, from early, simple models like decision trees to the advanced neural networks and transformer architecture found in generative AI applications like ChatGPT. The author's methodical approach guides readers through AI's evolution, employing recurring datasets that are commonly accessible to readers who wish to recreate the examples on their own. This book is especially valuable for those looking to navigate the complexities of computer science terminology, providing clear explanations and contextual usage without the need for deep mathematical or programming expertise. Kneusel's narrative is infused with humor and clarity, maintaining an engaging pace through successive chapters that build on each other, though readers seeking less technical explanations might find the level of depth somewhat challenging. Summing Up: Recommended. Two-year program students and advanced undergraduates through professionals. --Taylor Jonathon Greene, Chapman University

Copyright American Library Association, used with permission.