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Bayesian Nets and Causality (English, Jon Williamson)
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Specifications
| Publisher | OUP Oxford |
| Language | English |
| ISBN-13 | 9780198530794 |
| ISBN-10 | 019853079X |
| Author | Jon Williamson |
Product Description
Here on GlowMirror, you'll find Bayesian Nets and Causality filed under OUP Oxford -- everything you need to know is covered below.
About the Book
Bayesian nets are widely used in artificial intelligence as a calculus for casual reasoning, enabling machines to make predictions, perform diagnoses, take decisions and even to discover casual relationships. But many philosophers have criticized and ultimately rejected the central assumption on which such work is based-the causal Markov Condition. So should Bayesian nets be abandoned? What explains their success in artificial intelligence? This…
ISBN: 9780198530794
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Bayesian Nets and Causality
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in OUP Oxford
Who Should Read This
Students and professionals interested in OUP Oxford, as well as general readers looking to expand their knowledge.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
Frequently Asked Questions
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Is Bayesian Nets and Causality available in English?
Bayesian Nets and Causality is available in English on GlowMirror.
Who is the author of Bayesian Nets and Causality?
Bayesian Nets and Causality is authored by Jon Williamson.
Who published Bayesian Nets and Causality?
Bayesian Nets and Causality is published by OUP Oxford.
How many pages does Bayesian Nets and Causality have?
Page count information for Bayesian Nets and Causality is available in the specifications section of this page.
How long does it take to read Bayesian Nets and Causality?
At an average reading speed of 250 words per minute, reading Bayesian Nets and Causality takes a few hours to a few days depending on reading pace.
What is Bayesian Nets and Causality about?
About the Book
Bayesian nets are widely used in artificial intelligence as a calculus for casual reasoning, enabling machines to make predictions, perform diagnoses, take decisions and even to discover casual relationships. But many philosophers have criticized and ultimately rejected the central ...
Is Bayesian Nets and Causality suitable for beginners?
Whether Bayesian Nets and Causality is suitable for beginners depends on your background in OUP Oxford. Review the product description and specifications above for details on the target audience and difficulty level.
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Bayesian Nets and Causality is from the OUP Oxford edition/year. Check the specifications section for full edition details.
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