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
зүйлийн дугаар: 87939395

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

зүйлийн дугаар: 87939395

MNT 137580

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What Stands Out

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.

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Shop Algorithms and data structures for large datasets Compass Algorithms Tankobon Softcover – July 26, 2024 online at a best price in Mongolia. 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)

Who Should Buy?

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.

БАРААНЫ ТАЙЛБАР

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

Асуулга байна уу? Бидэнтэй чатлаарай

Хэрэглэгчийн асуулт ба хариултууд

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

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

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

    Хариулт: 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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Давуу тал

  • User-friendly interface
  • Flexible features for customization
  • High accuracy in results
  • Great for beginners and experts
  • Responsive customer support

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MNT 137580

Яг одоо захиалаад ойрын хугацаанд хүлээн аваарай Monday, 7 дугаар сар 06

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Онцлог & Давуу талууд

  • 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.