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
Articolo #: 135438898

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

Articolo #: 135438898

ALL 7571

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Cosa salta all'occhio

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.

Dettagli del prodotto

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

A chi è consigliato?

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.

DESCRIZIONE DEL PRODOTTO

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

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Domande e risposte dei clienti

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

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

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

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

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Professionisti

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

Contro

  • Some concepts may be slightly complex.

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ALL 7571

Ordina subito e indossalo Sunday, Giugno 28

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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Consegna transfrontaliera più veloce

Caratteristiche e benefici

  • 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.