Artificial Intelligence: An Introduction to the Big Ideas and their Development: Chapman & Hall/CRC Mathematics and Artificial Intelligence Series
Autor Robert H. Chen, Chelsea Chenen Limba Engleză Paperback – 25 sep 2024
Features
- Only mathematical prerequisite is an elementary knowledge of calculus.
- Accessible to anyone with an interest in AI and its mathematics and computer science.
- Suitable as a supplementary reading for a course in AI or the History of Mathematics and Computer Science in regard to artificial intelligence.
- Fully revised and corrected throughout to bring the material up-to-date.
- Greater technical detail and exploration of basic mathematical concepts, while retaining the simplicity of explanation of the first edition.
- Entirely new chapters on large language models (LLMs), ChatGPT, and quantum computing.
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CRC Press – 25 sep 2024 | 235.94 lei 22-36 zile | +24.94 lei 6-12 zile |
CRC Press – 9 iun 2022 | 281.89 lei 22-36 zile | +24.93 lei 6-12 zile |
Hardback (2) | 686.58 lei 22-36 zile | |
CRC Press – 9 iun 2022 | 686.58 lei 22-36 zile | |
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Specificații
ISBN-13: 9781032715964
ISBN-10: 1032715960
Pagini: 338
Ilustrații: 134
Dimensiuni: 156 x 234 x 23 mm
Greutate: 0.63 kg
Ediția:2
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria Chapman & Hall/CRC Mathematics and Artificial Intelligence Series
Locul publicării:Boca Raton, United States
ISBN-10: 1032715960
Pagini: 338
Ilustrații: 134
Dimensiuni: 156 x 234 x 23 mm
Greutate: 0.63 kg
Ediția:2
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria Chapman & Hall/CRC Mathematics and Artificial Intelligence Series
Locul publicării:Boca Raton, United States
Public țintă
General and Undergraduate CoreCuprins
1. Computing Hardware. 2. The Integrated Circuit. 3. Software. 4. Open Source Software. 5. Expert Systems. 6. Inverted Decision Tree. 7. Deep Blue. 8. Jeopardy and Miss Debater. 9. The Perceptron. 10. Parameterization. 11. Gradient Descent and Backpropagation. 12. The Cross-Entropy Cost Function. 13. Convolutional Neural Networks. 14. Imagenet and Model Fitting. 15. Markov Chain Monte Carlo Simulation. 16. Reinforcement Learning. 17. AlphaGo. 18. Game Theory. 19. Predictive Analytics. 20. Support Vector Machines. 21. Top-Down Speech Recognition. 22. Bottom-Up Speech Recognition. 23. Speech Synthesis. 24. RBMs, GANs, and LFCF. 25. LLMs and GPTs. 26. Massive Parallel Processing and Supercompuers. 27. Quantum Computing. 28. Industrial Robots: Robot Physicians. 29. Autonomous Vehicles. 30. Exoplanets/Exomoon Astronomer. 31. Protein Folding. 32. Intelligence. 33. The AI Singularity.
Notă biografică
Robert H. Chen is the author of three books in English on Personal Computers, Liquid Crystal Displays, and Einstein’s Relativity, and four books in Chinese on LCDs & Intellectual Property, Patents, Anglo-American Contract Law, and Technology & Copyright Law, and many scholarly articles in physics and the law. He has a Ph.D. in Space Physics and a J.D. in law and is a member of the California Bar. He divides his time between California and Taiwan with his wife and daughter.
Chelsea Chen graduated in physics and computer science from U.C Berkeley and is a software development engineer at a major tech company in Silicon Valley. She presently lives in Northern California and New York City.
Chelsea Chen graduated in physics and computer science from U.C Berkeley and is a software development engineer at a major tech company in Silicon Valley. She presently lives in Northern California and New York City.
Descriere
This book guides readers through the history and development of AI, from its early mathematical beginnings through to the exciting possibilities of its potential future applications.