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39526393
Bayesian Networks: An Introduction (Wiley Series in Probability and Statistics)
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Item #:
39526393
SEK 1666
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What Stands Out
Comprehensive Overview
This book provides a thorough introduction to Bayesian Networks, covering fundamental concepts and advanced topics, appealing to both beginners and experienced practitioners in data science and machine learning.
Practical Applications
It includes real-world applications and case studies, enabling readers to see how Bayesian Networks can solve complex problems, making it highly relevant for professionals in various fields.
Accessible Language
The author employs clear and concise language, making complex theories understandable, which is particularly beneficial for students and individuals new to statistical methods and probability modeling.
Product Details
| Publisher | Wiley |
| Publication date | November 9, 2009 |
| Edition | 1st |
| Language | English |
| Print length | 368 pages |
| ISBN-10 | 0470743042 |
| ISBN-13 | 978-0470743041 |
| Item Weight | 1.53 pounds (690 grams) |
| Dimensions | 6.95 x 1 x 10 inches (17.7 x 2.5 x 25.4 cm) |
Who Should Buy?
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Data Scientists
Ideal for data scientists seeking foundational knowledge in probabilistic modeling and data analysis using Bayesian networks.
-
Researchers
Beneficial for researchers conducting studies that involve uncertainty and require robust statistical methodologies.
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Students
Great for students in statistics or computer science wanting to enhance their understanding of Bayesian inference techniques.
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Casual Readers
Not suitable for casual readers looking for light reading materials without complex statistical concepts or detailed math.
Product Description
Bayesian Networks: An Introduction (Wiley Series in Probability and Statistics)
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Probability & Statistics Editorial Review
Bayesian Networks: An Introduction (Wiley Series in Probability and Statistics) is a comprehensive guide to Bayesian networks, providing in-depth explanations and practical insights. The book, published by Wiley on November 9, 2009, spans 368 pages and is written in English. This first edition is well-structured for those looking to understand the intricacies of probability and statistics. Readers have noted its clear explanations and extensive examples, making complex topics accessible. Inquiries about the clarity of the content and its applicability in real-world situations highlight the book as a valuable resource for both students and professionals alike.
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Pros
- Comprehensive guide to Bayesian networks
- Clear explanations with practical insights
- Well-structured for students and professionals
- Extensive examples for better understanding
- High-quality publication from Wiley
Cons
- Some concepts may require prior statistical knowledge
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