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Information Theory: A Tutorial Introduction (2nd Edition)
86% of respondents would recommend this to a friend
KZT 21166
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This superb introduction not only enables scientists of all persuasions to appreciate the relevance of information theory, it also equips them to start using it.
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What Stands Out
Product Details
| Publisher | Sebtel Press |
| Publication date | October 5, 2022 |
| Language | English |
| Print length | 292 pages |
| ISBN-10 | 1739672704 |
| ISBN-13 | 978-1739672706 |
| Item Weight | 13.9 ounces (394.07 grams) |
| Dimensions | 6 x 0.66 x 9 inches (15.2 x 1.7 x 22.9 cm) |
| Part of series | Tutorial Introductions |
Who Should Buy?
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Students of Computer Science
This book provides foundational knowledge crucial for understanding algorithms and data communication in computer science curricula.
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Data Science Practitioners
Professionals in data analysis can benefit from concepts of entropy and information gain presented in practical scenarios.
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Research Academics
Researchers seeking a comprehensive introduction to information theory will appreciate the depth and clarity of this tutorial.
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Absolute Beginners
Those with no prior knowledge of mathematics or statistics may find the content too advanced and challenging.
Product Description
Information Theory: A Tutorial Introduction (2nd Edition)
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Probability & Statistics Editorial Review
**** Dr. James V. Stone's *Introduction to Information Theory* has received widespread acclaim for its accessibility and clarity, making advanced mathematical concepts approachable for a diverse audience. Whether you're just beginning your mathematical journey or seeking to deepen your understanding of information theory, this book provides valuable insights in a reader-friendly manner. Unlike traditional textbooks that can overwhelm learners with dense language and complex proofs, Stone's writing is characterized by a thoughtful and engaging approach. He employs a variety of explanations and practical examples to demystify concepts, making it easier for readers from various backgrounds—be it art, biology, or journalism—to grasp foundational ideas relating to mathematics and information theory. Readers have praised the author for his ability to instill a sense of intuition around the material, which allows individuals not only to understand information theory but to apply it practically in everyday contexts. This integration of theory with real-world application is one of the standout features of Stone’s work, as he teaches readers how to think mathematically about familiar situations. Many reviewers, including those who have experience with mathematical education, noted that this book has transformed their understanding of information theory and mathematics as a whole. It effectively balances intricate mathematical details with a conversational tone that encourages engagement and exploration. The combination of rigor and accessibility makes *Introduction to Information Theory* an exceptional resource that stands out in the landscape of mathematical literature. It is recommended as both a standalone text for newcomers and a supplementary guide for those delving into more advanced studies in information theory. **
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Pros
- Accessible writing style that demystifies complex concepts.
- Various methods of explanation catering to different learning styles.
- Strong practical applications of theoretical concepts.
- Suitable for readers of all backgrounds and prior knowledge levels.
- Boosts confidence and understanding in mathematical thought.
- A balanced approach that respects both theory and application.
Cons
- Some may find it lacks the rigor of traditional mathematical textbooks.
Product Price History
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KZT 21166
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Features & Benefits
- Accessible introduction to Information Theory.
- Empowers scientists and students to understand and apply key concepts.
- Explains complex ideas with a minimum of elementary equations.
- Covers applications across various fields including biology, communication, and neuroscience.
- Written in an intuitive and engaging manner.
- Contains anecdotes that enhance understanding and retention.
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