This unique compendium presents an introduction to problem solving, information theory, statistical machine learning, stochastic methods and quantum computation. It indicates how to apply quantum computation to problem solving, machine learning and quantum-like models to decision making — the core disciplines of artificial intelligence.Most of the chapters were rewritten and extensive new materials were updated. New topics include quantum machine learning, quantum-like Bayesian networks and mind in Everett many-worlds.
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PRINCIPLES OF QUANTUM AI (2ND ED): Quantum Problem Solving and Machine Learning
This unique compendium presents an introduction to problem solving, information theory, statistical machine learning, stochastic methods and quantum computation. It indicates how to apply quantum computation to problem solving, machine learning and quantum-like models to decision making — the core disciplines of artificial intelligence.Most of the chapters were rewritten and extensive new materials were updated. New topics include quantum machine learning, quantum-like Bayesian networks and mind in Everett many-worlds.
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PRINCIPLES OF QUANTUM AI (2ND ED): Quantum Problem Solving and Machine Learning
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PRINCIPLES OF QUANTUM AI (2ND ED): Quantum Problem Solving and Machine Learning
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Product Details
| ISBN-13: | 9789811224324 |
|---|---|
| Publisher: | World Scientific Publishing Company, Incorporated |
| Publication date: | 07/08/2020 |
| Sold by: | Barnes & Noble |
| Format: | eBook |
| Pages: | 496 |
| File size: | 43 MB |
| Note: | This product may take a few minutes to download. |
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