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Sprache: Englisch
Verlag: Ingram Publishing 10/30/2020, 2020
ISBN 10: 1761036386 ISBN 13: 9781761036385
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Paperback or Softback. Zustand: New. Game Theory: A Beginner's Guide to Game Theory Mathematics, Strategy & Decision-Making. Book.
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Zustand: As New. Unread book in perfect condition.
Verlag: irwin, 1969
Anbieter: Hawking Books, Edgewood, TX, USA
Hardcover. Zustand: Very Good. Very Good Condition. Five star seller - Buy with confidence!
Verlag: irwin
Anbieter: ThriftBooks-Dallas, Dallas, TX, USA
Hardcover. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Hardcover. Zustand: New. Zustand des Schutzumschlags: No DJ. First Edition, First Printing. This is a new hardcover first edition copy, no DJ, yellow spine.
Anbieter: Grand Eagle Retail, Bensenville, IL, USA
Paperback. Zustand: new. Paperback. Introduction: The Bayesian Revolution in AIArtificial Intelligence (AI) is no longer just a futuristic concept confined to research laboratories; it is embedded in our daily lives-powering search engines, recommending movies, guiding self-driving cars, diagnosing medical conditions, and even shaping financial decisions. Yet, beneath this dazzling surface lies one of the greatest challenges AI faces: decision-making under uncertainty.The world is inherently uncertain. Weather forecasts are probabilistic, medical diagnoses are based on incomplete data, autonomous vehicles must react to unpredictable human drivers, and financial systems depend on volatile markets. To build AI systems that can reason, adapt, and decide reliably in such uncertain environments, we require a mathematical foundation that doesn't just deal with certainty, but embraces uncertainty as a core principle.That foundation is Bayesian mathematics.Bayesian inference-rooted in Thomas Bayes' theorem (1763)-provides a structured framework for updating beliefs as new evidence emerges. In contrast to rigid, deterministic models, Bayesian methods capture the fluid nature of knowledge, allowing AI systems to make probabilistic predictions, quantify uncertainty, and adapt dynamically.This book, "Bayesian Mathematics for AI Decision Making", is dedicated to unraveling this powerful paradigm. It explores how Bayesian mathematics equips AI systems with probabilistic reasoning, uncertainty modeling, and decision-making strategies that are essential for the next generation of intelligent systems. Why Bayesian Mathematics is Crucial for AI1. The World is UncertainEvery AI application-speech recognition, medical imaging, autonomous navigation-faces incomplete, noisy, or ambiguous data. Bayesian models allow us to explicitly model this uncertainty, instead of ignoring or oversimplifying it. For instance, a self-driving car doesn't just "see a pedestrian"; it estimates the probability of a pedestrian being present under varying lighting and weather conditions.2. Learning from Limited DataUnlike purely data-hungry deep learning approaches, Bayesian methods integrate prior knowledge with new evidence. This makes Bayesian AI particularly valuable in domains where data is scarce, such as rare disease diagnosis or astronomical observations.3. Interpretability and TransparencyModern AI faces criticism for being a "black box." Bayesian models, with their probabilistic reasoning, offer interpretability-we can examine priors, likelihoods, and posteriors to understand how an AI system arrives at its conclusions.4. Optimal Decision-MakingBayesian decision theory provides a mathematical framework for making optimal choices under uncertainty. Whether it's selecting the best investment strategy, determining treatment plans, or optimizing recommendation systems, Bayesian decision-making balances risks, costs, and benefits.5. Integration with Deep LearningRecent advances have combined Bayesian inference with neural networks, leading to Bayesian deep learning. This hybrid approach enhances robustness, provides uncertainty-aware predictions, and is crucial for safety-critical applications like healthcare and autonomous vehicles. Scope and Vision of the BookThis book is designed to serve as a comprehensive guide for students, researchers, engineers, and professionals who wish to understand how Bayesian mathematics powers AI decision making.Unlike purely theoretical works, this book balances mathematical rigor with practical applications. It explores the foundations of Ba Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
EUR 18,38
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In den WarenkorbPaperback. Zustand: New.
Sprache: Englisch
Verlag: Ingram Publishing 10/31/2020, 2020
ISBN 10: 1761036394 ISBN 13: 9781761036392
Anbieter: BargainBookStores, Grand Rapids, MI, USA
Hardback or Cased Book. Zustand: New. Game Theory: A Beginner's Guide to Game Theory Mathematics, Strategy & Decision-Making. Book.
Verlag: Englewood Cliffs: Prentice Hall, 2002. 1st ed. Paperback. 169 pages., 2002
ISBN 10: 0130428833 ISBN 13: 9780130428837
Anbieter: Schroeder's Book Haven, League City, TX, USA
Verbandsmitglied: TXBA
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Zustand: Fine. No Jacket. CD in unopened package. Fine/Wraps. No wear, no marks. Item # B9329. **SAVE MORE** Additional books in the same order ship for FREE via Standard Shipping.
Sprache: Englisch
Verlag: Pearson Prentice Hall, Upper Saddle River, NJ, 2005
ISBN 10: 0131139649 ISBN 13: 9780131139640
Anbieter: a2zbooks, Burgin, KY, USA
Softcover. Zustand: Fair. 10th Edition. The text appears clean, The cover has wear and tear. Includes CD. STUDENT SOLUTION MANUAL Quantity Available: 1. ISBN: 0131139649. ISBN/EAN: 9780131139640. Pictures of this item not already displayed here available upon request. Inventory No: 1560790337.
Anbieter: AwesomeBooks, Wallingford, Vereinigtes Königreich
EUR 17,33
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In den WarenkorbPaperback. Zustand: Very Good. Decision and Discrete Mathematics: Maths for Decision-Making in Business and Industry (Albion Mathematics & Applications Series) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.
Hardcover. Zustand: Good. No DJ. Non circulating ex University of California, Berkeley reference library book with some library markings. Light wear. Binding is tight, text clean. From the back cover: The volume contains articles on model problems of decision making process in the energy and power industry when the available information is noisy and/or incomplete. The major tools used in studying these problems are mathematical modeling and optimization techniques; especially stochastic optimization.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 14,22
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In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Pearson Prentice Hall, Upper Saddle River, NJ, 2005
ISBN 10: 0131139649 ISBN 13: 9780131139640
Anbieter: a2zbooks, Burgin, KY, USA
Softcover. Zustand: Good. 10th Edition. The text appears clean, has writing on the fly page. The cover has some wear with a crease on the front. Includes CD. STUDENT SOLUTION MANUAL Multiple copies available this title. Quantity Available: 2. ISBN: 0131139649. ISBN/EAN: 9780131139640. Pictures of this item not already displayed here available upon request. Inventory No: 1560790338.
Sprache: Englisch
Verlag: Pearson Prentice Hall, Upper Saddle River, NJ, 2005
ISBN 10: 0131139649 ISBN 13: 9780131139640
Anbieter: a2zbooks, Burgin, KY, USA
Softcover. Zustand: Good. 10th Edition. The text appears clean, has writing on the fly page. The cover has minor wear with a sticker on the front. Includes CD. STUDENT SOLUTION MANUAL Quantity Available: 1. ISBN: 0131139649. ISBN/EAN: 9780131139640. Pictures of this item not already displayed here available upon request. Inventory No: 1560789416.
Sprache: Englisch
Verlag: Pearson Prentice Hall, Upper Saddle River, NJ, 2005
ISBN 10: 0131139649 ISBN 13: 9780131139640
Anbieter: a2zbooks, Burgin, KY, USA
Softcover. Zustand: Very Good. 10th Edition. Some shelf and corner wear. The text appears clean, Includes CD. STUDENT SOLUTION MANUAL Multiple copies available this title. Quantity Available: 3. ISBN: 0131139649. ISBN/EAN: 9780131139640. Pictures of this item not already displayed here available upon request. Inventory No: 1560790335.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 14,02
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In den WarenkorbZustand: New.
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In den WarenkorbPaperback. Zustand: Brand New. 32 pages. 8.10x5.20x0.10 inches. In Stock.
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In den WarenkorbZustand: As New. Unread book in perfect condition.
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EUR 16,38
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In den WarenkorbZustand: New.
Sprache: Englisch
Verlag: Pearson Prentice Hall, Upper Saddle River, NJ, 2005
ISBN 10: 0131139649 ISBN 13: 9780131139640
Anbieter: a2zbooks, Burgin, KY, USA
Softcover. Zustand: Very Good. 10th Edition. The text appears clean, The cover has a sticker on the front. Includes Sealed CD. STUDENT SOLUTION MANUAL Multiple copies available this title. Quantity Available: 5. ISBN: 0131139649. ISBN/EAN: 9780131139640. Pictures of this item not already displayed here available upon request. Inventory No: 1560790336.
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loose_leaf. Zustand: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority!
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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In den WarenkorbZustand: New. In.
Verlag: RBSA Publishers
ISBN 10: 8176114162 ISBN 13: 9788176114165
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In den WarenkorbZustand: New. pp. 260.
Verlag: RBSA Publishers
ISBN 10: 8176114162 ISBN 13: 9788176114165
Anbieter: Books Puddle, New York, NY, USA
Zustand: New. pp. 260.