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
зүйлийн дугаар: 135438898

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

зүйлийн дугаар: 135438898

MNT 260281

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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.

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

БАРААНЫ ТАЙЛБАР

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

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Хэрэглэгчийн асуулт ба хариултууд

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

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

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

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

ギルバート・ストラング Editorial Review

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Customer Reviews & Ratings

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Давуу тал

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

Сул талууд

  • Some concepts may be slightly complex.

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MNT 260281

Яг одоо захиалаад ойрын хугацаанд хүлээн аваарай Мягмар гараг, 6 дугаар сар 30

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Онцлог & Давуу талууд

  • 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.