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Item #:
40075131
What Are Tensors Exactly
93% of respondents would recommend this to a friend
Item #:
40075131
€ 42
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What Stands Out
Dimensional Versatility
Tensors can represent data in various dimensions, allowing them to model complex phenomena efficiently across fields like physics, engineering, and machine learning.
Robust Transformation
Tensors facilitate transformations between different coordinate systems seamlessly, enabling accurate calculations in various scientific applications and improving interoperability among diverse data sources.
Computation Efficiency
Tensors are optimized for high-performance computation, enabling faster processing of large datasets, which is critical for applications in artificial intelligence and deep learning.
Product Details
| Publisher | WSPC |
| Publication date | June 17, 2021 |
| Language | English |
| Print length | 246 pages |
| ISBN-10 | 9811241015 |
| ISBN-13 | 978-9811241017 |
| Item Weight | 1.1 pounds (500 grams) |
| Dimensions | 6 x 0.77 x 9 inches (15.2 x 2 x 22.9 cm) |
| Country of Origin | This item will be import from US |
| Date First Available | July 14, 2021 |
| What is in the box | What Are Tensors Exactly... For more details, please check description/product details |
Who Should Buy?
-
Students of Physics
Ideal for physics students needing a solid foundation in tensors for advanced theoretical concepts and applications.
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Data Scientists
Beneficial for data scientists using machine learning frameworks that utilize tensors for training and data manipulation.
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Mathematics Enthusiasts
Great for individuals interested in deepening their understanding of mathematical structures and their applications in various fields.
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Casual Learners
Not suitable for individuals casually exploring mathematics without the intention of deep technical understanding.
Product Description
What Are Tensors Exactly
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Linear Editorial Review
This book, "What Are Tensors Exactly" by Hongyu Guo, is a well-written and helpful guide for anyone looking to understand the complex concept of tensors. The author provides historical context and various definitions of tensors, while also carefully explaining their relationships and properties. The book is especially useful for those working in applied math, computer vision, and machine learning, as it provides a unified understanding of tensors across different fields. However, some readers may find the author's attempts at humor to be unnecessary.
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Pros
- Provides historical context and various definitions of tensors
- Carefully explains relationships and properties of tensors
- Useful for those in applied math, computer vision, and machine learning
- Provides unified understanding across different fields
Cons
- Attempts at humor may be unnecessary.
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