World Standard MIT Textbook Strang: Linear Algebra and Data Science Tankobon Hardcover – October 28, 2021
MKD 4471
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A linear algebra textbook essential to the information age that data scientists should know!
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Детали за производот
| Publisher | u8fd1u4ee3u79d1u5b66u793e (October 28, 2021) |
| Publication date | October 28, 2021 |
| Language | Japanese |
| Tankobon Hardcover | 488 pages |
| ISBN-10 | 4764906007 |
| ISBN-13 | 978-4764906006 |
| Dimensions | 10.12 x 7.17 x 0.79 inches (25.7 x 18.2 x 2 cm) |
Who Should Buy?
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Students of Mathematics
Ideal for undergraduate or graduate students studying linear algebra and its applications in data science.
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Data Science Professionals
Beneficial for practitioners seeking to deepen their understanding of linear algebra in data analysis and machine learning.
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Self-learners
Great for individuals looking to advance their knowledge independently in linear algebra and its relevance to data science.
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Beginners in Math
Not suitable for those without a basic understanding of mathematical concepts, as it may be too advanced.
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Casual Readers
Individuals looking for light reading will find the textbook's technical nature unengaging and challenging.
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Professionals Outside Discipline
Those working in fields unrelated to data science or mathematics may not benefit from the specialized content.
ОПИС НА ПРОИЗВОД
World Standard MIT Textbook Strang: Linear Algebra and Data Science Tankobon Hardcover – October 28, 2021
Прашања и одговори на купувачи
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Прашање:
Is this book suitable for beginners in data science?
Одговор: This book is designed as an advanced textbook, ideal for those with a foundational understanding of linear algebra. -
Прашање:
What mathematical concepts does this book cover?
Одговор: It covers linear algebra, probability statistics, and optimization, key components for data science. -
Прашање:
Why is understanding linear algebra important for data scientists?
Одговор: Linear algebra provides the mathematical foundation necessary for understanding neural networks and deep learning.
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Добрите
- Engaging and informative content
- Well-structured lessons
- Great for beginners
- Hands-on exercises included
- Expert insights provided
Конс
- Some concepts may be slightly complex.
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MKD 4471
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Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
Карактеристики и придобивки
- Essential reading for aspiring data scientists.
- Covers fundamental mathematics including linear algebra, probability statistics, and optimization.
- Written by MIT Professor Gilbert Strang, a noted expert in the field.
- Deep understanding of linear algebra is crucial for grasping neural networks and deep learning.
- Advanced textbook suitable for students and professionals alike.
- Few resources cover the underlying mathematics of deep learning like this book.
