(as of Jan 16, 2024 22:59:02 UTC – Details)
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.
The relationship between artificial intelligence, machine learning, and deep learningThe history behind AI and why the artificial intelligence revolution is happening nowHow decades of work in symbolic AI failed and opened the door for the emergence of neural networksWhat 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.
From the Publisher
‘I recommend this book to anyone’
“After reading this book, I have a better understanding of the ML [machine learning] tools I have already used in my work, and a new appreciation and insight to how Large Language Models and future AI will likely change . . . I recommend this book to anyone who works with software systems, including management, and anyone who just wants to know what AI actually does under the hood.”
—Daniel Kosey, CISSP, Cybersecurity Engineer‘A perfect resource’
“A tour de force of the rich history of artificial intelligence, from the early perceptions and symbolic systems to large language models such as ChatGPT. For beginners, it demystifies AI and is a perfect resource to get up to date with more than six decades of research and development. . . . Even AI experts will gain a fresh perspective, enhancing their understanding and ability to articulate complex concepts.”
—Ben Dickson, Software Engineer, Editor of TechTalks‘Peek behind the curtain of modern AI’
“A friendly and personal peek behind the curtain of modern AI. Ronald T. Kneusel tells the story of how the field grew, and surveys the ideas that are powering the AI revolution. From this book, you’ll learn not only how AI works today, but its limits, its capabilities, and where it might take us tomorrow.”
—Andrew Glassner, Author of Deep Learning: A Visual Approach
About the Author
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.
About the Publisher
No Starch Press has published the finest in geek entertainment since 1994, creating both timely and timeless titles like Python Crash Course, Python for Kids, How Linux Works, and Hacking: The Art of Exploitation. An independent, San Francisco-based publishing company, No Starch Press focuses on a curated list of well-crafted books that make a difference. They publish on many topics, including computer programming, cybersecurity, operating systems, and LEGO. The titles have personality, the authors are passionate experts, and all the content goes through extensive editorial and technical reviews. Long known for its fun, fearless approach to technology, No Starch Press has earned wide support from STEM enthusiasts worldwide.
Publisher : No Starch Press (October 24, 2023)
Publication date : October 24, 2023
Language : English
File size : 20418 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Enabled
Sticky notes : On Kindle Scribe
Print length : 192 pages
Page numbers source ISBN : 1718503725