Algorithms and data structures for large datasets Compass Algorithms Tankobon Softcover – July 26, 2024
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Algorithms and data structures for large datasets Compass Algorithms Tankobon Softcover – July 26, 2024
Understand the basic algorithms of large-scale data systems with rich illustrations!
Algorithms and data structures for large datasets Compass Algorithms Tankobon Softcover – July 26, 2024
Articolo #: 87939395

Algorithms and data structures for large datasets Compass Algorithms Tankobon Softcover – July 26, 2024

Articolo #: 87939395

€ 36

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Cosa salta all'occhio

Comprehensive Coverage
This book offers an in-depth exploration of algorithms and data structures tailored for large datasets, making it essential for data scientists and engineers seeking effective solutions in complex scenarios.
Practical Applications
Packed with real-world examples, this guide enables readers to apply theoretical knowledge directly to industry challenges, bridging the gap between academia and practical implementation of large-scale data processing.
User-Friendly Format
The Softcover edition ensures portability and ease of use, providing an accessible format for studying on-the-go, catering to students and professionals alike who need flexibility in their learning resources.

Dettagli del prodotto

Shop Algorithms and data structures for large datasets Compass Algorithms Tankobon Softcover – July 26, 2024 online at a best price in Italia. 4839984166
Publisher u30deu30a4u30cau30d3u51fau7248
Publication date July 26, 2024
Language Japanese
Print length 328 pages
ISBN-10 4839984166
ISBN-13 978-4839984168
Item Weight 630 g
Dimensions 0.91 x 7.17 x 9.21 inches (2.3 x 18.2 x 23.4 cm)

A chi è consigliato?

Suitable For
  • Data Scientists

    This book provides essential algorithms for analyzing large datasets, crucial for data-driven decision-making in science.

  • Software Engineers

    Useful for engineers working on applications that manage or process big data, enhancing efficiency and performance.

  • Computer Science Students

    Offers foundational knowledge on algorithms and data structures, vital for academic success in computer science.

Not Suitable For
  • Beginners

    Novices may struggle with complex concepts presented in the book without prior knowledge of algorithms and data structures.

  • Casual Readers

    Those seeking light reading or quick insights into programming will find this book too technical and dense.

  • Non-technical Users

    Individuals without a technical background may not benefit from the content, which requires specialized knowledge to understand.

DESCRIZIONE DEL PRODOTTO

Algorithms and data structures for large datasets Compass Algorithms Tankobon Softcover – July 26, 2024

Hai qualche domanda? chatta con noi

Domande e risposte dei clienti

  • domanda: Who is the target audience for this book?

    Rispondere: The target audience includes readers with knowledge of basic data structures, algorithms, programming, and probability theory.
  • domanda: What topics does the book cover?

    Rispondere: The book covers probabilistic data structures, streaming algorithms, and external storage data structures.
  • domanda: Is this book suitable for beginners?

    Rispondere: This book is not designed for absolute beginners; a basic understanding of algorithms and Python is recommended.

Dzejla Medjedovic , Emin Tahirovic , Ines Dedovic Editorial Review

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€ 36

Ordina subito e indossalo Sabato, Luglio 04

QTY:

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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.

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Caratteristiche e benefici

  • Comprehensive guidebook for large-scale data applications.
  • Easy-to-understand explanations with rich illustrations.
  • Covers probabilistic, streaming, and external storage data structures.
  • Ideal for readers with basic programming and data structure knowledge.
  • Explains traditional solutions and their limitations in large-scale contexts.
  • Build scalable applications effectively with proven algorithms.