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Nº de artículo:
135438898
World Standard MIT Textbook Strang: Linear Algebra and Data Science Tankobon Hardcover – October 28, 2021
89% of respondents would recommend this to a friend
Nº de artículo:
135438898
USD 73
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A linear algebra textbook essential to the information age that data scientists should know!
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What Stands Out
Comprehensive Coverage
This textbook offers an extensive exploration of linear algebra principles tailored for data science applications, ensuring readers gain a solid foundation and practical insights.
MIT Quality
Authored by renowned educator Gilbert Strang, this book reflects MIT's high academic standards, providing users with top-tier educational content recognized globally.
Hardcover Durability
The tankobon hardcover format ensures durability for frequent use, making it an ideal investment for students and professionals seeking a reliable reference for linear algebra in data science.
Detalles de producto
| 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?
-
Students of Mathematics
Ideal for undergraduate or graduate students studying linear algebra and its applications in data science.
-
Data Science Professionals
Beneficial for practitioners seeking to deepen their understanding of linear algebra in data analysis and machine learning.
-
Self-learners
Great for individuals looking to advance their knowledge independently in linear algebra and its relevance to data science.
-
Beginners in Math
Not suitable for those without a basic understanding of mathematical concepts, as it may be too advanced.
DESCRIPCIÓN DEL PRODUCTO
World Standard MIT Textbook Strang: Linear Algebra and Data Science Tankobon Hardcover – October 28, 2021
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Preguntas y respuestas de los clientes
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Pregunta:
Is this book suitable for beginners in data science?
Respuesta: This book is designed as an advanced textbook, ideal for those with a foundational understanding of linear algebra. -
Pregunta:
What mathematical concepts does this book cover?
Respuesta: It covers linear algebra, probability statistics, and optimization, key components for data science. -
Pregunta:
Why is understanding linear algebra important for data scientists?
Respuesta: Linear algebra provides the mathematical foundation necessary for understanding neural networks and deep learning.
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ventajas
- Engaging and informative content
- Well-structured lessons
- Great for beginners
- Hands-on exercises included
- Expert insights provided
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- Some concepts may be slightly complex.
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USD 73
Haz tu pedido ahora y recíbelo por ahí Miércoles, Octubre 07
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características y beneficios
- 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.
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