World Standard MIT Textbook Strang: Linear Algebra and Data Science Tankobon Hardcover – October 28, 2021
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World Standard MIT Textbook Strang: Linear Algebra and Data Science Tankobon Hardcover – October 28, 2021
A linear algebra textbook essential to the information age that data scientists should know!
World Standard MIT Textbook Strang: Linear Algebra and Data Science Tankobon Hardcover – October 28, 2021
товар №: 135438898

World Standard MIT Textbook Strang: Linear Algebra and Data Science Tankobon Hardcover – October 28, 2021

товар №: 135438898

AZN 125

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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.

Информация о продукте

Shop World Standard MIT Textbook Strang: Linear Algebra and Data Science Tankobon Hardcover – October 28, 2021 online at a best price in Azerbaijan. 4764906007
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?

Suitable For
  • 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.

Not Suitable For
  • Beginners in Math

    Not suitable for those without a basic understanding of mathematical concepts, as it may be too advanced.

  • Casual Readers

    Individuals looking for light reading will find the textbook's technical nature unengaging and challenging.

  • Professionals Outside Discipline

    Those working in fields unrelated to data science or mathematics may not benefit from the specialized content.

ОПИСАНИЕ ТОВАРА

World Standard MIT Textbook Strang: Linear Algebra and Data Science Tankobon Hardcover – October 28, 2021

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Вопросы и ответы клиентов

  • вопрос: Is this book suitable for beginners in data science?

    отвечать: This book is designed as an advanced textbook, ideal for those with a foundational understanding of linear algebra.
  • вопрос: What mathematical concepts does this book cover?

    отвечать: It covers linear algebra, probability statistics, and optimization, key components for data science.
  • вопрос: Why is understanding linear algebra important for data scientists?

    отвечать: Linear algebra provides the mathematical foundation necessary for understanding neural networks and deep learning.

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Плюсы

  • Engaging and informative content
  • Well-structured lessons
  • Great for beginners
  • Hands-on exercises included
  • Expert insights provided

Минусы

  • Some concepts may be slightly complex.

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AZN 125

Закажите сейчас и получите товар приблизительно Суббота, Июнь 27

QTY:

Secured transactionsecured transaction

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.

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Fastest cross-border delivery

Особенности и преимущества

  • 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.