"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"--
"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"--Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
Acknowledgments Preface Chapter 1: And Away We Go: An AI Overview Chapter 2: Why Now? A History of AI Chapter 3: Classical Models: Old-School Machine Learning Chapter 4: Neural Networks: Brain-Like AI Chapter 5: Convolutional Neural Networks: AI Learns to See Chapter 6: Generative AI: AI Gets Creative Chapter 7: Large Language Models: True AI at Last? Chapter 8: Musings: The Implications of AI Glossary Resources Index
Acknowledgments Preface Chapter 1: And Away We Go: An AI Overview Chapter 2: Why Now? A History of AI Chapter 3: Classical Models: Old-School Machine Learning Chapter 4: Neural Networks: Brain-Like AI Chapter 5: Convolutional Neural Networks: AI Learns to See Chapter 6: Generative AI: AI Gets Creative Chapter 7: Large Language Models: True AI at Last? Chapter 8: Musings: The Implications of AI Glossary Resources Index
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