Probabilistic Reasoning in AI
| Institution | Jomo Kenyatta University of Science and Technology |
| Course | Information Technolo... |
| Year | 3rd Year |
| Semester | Unknown |
| Posted By | Jeff Odhiambo |
| File Type | |
| Pages | 6 Pages |
| File Size | 266.69 KB |
| Views | 1726 |
| Downloads | 0 |
| Price: |
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Description
Buy "Probabilistic Reasoning in AI" now and learn how to navigate the uncertainty inherent in real-world scenarios. This insightful book explores the causes of uncertainty, from unreliable sources to equipment faults, and introduces probabilistic reasoning as a robust method for knowledge representation. By integrating probability theory with logic, the book provides a comprehensive approach to handling uncertain knowledge, making it an invaluable resource for both beginners and seasoned professionals in the field of artificial intelligence.
Discover the essential techniques of probabilistic reasoning, such as Bayes' rule and Bayesian statistics, that enable AI systems to make informed decisions despite unpredictable outcomes. The book covers key concepts like prior and posterior probabilities, conditional probability, and random variables, with practical examples that illustrate their applications in various AI-driven tasks. "Probabilistic Reasoning in AI" is an essential read for anyone looking to deepen their understanding of AI's reasoning processes and effectively apply these techniques to solve complex real-world problems.
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