Modern Data Mining Algorithms in C++ and CUDA C: Recent Developments in Feature Extraction and Selection Algorithms for Data Science
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Modern Data Mining Algorithms in C++ and CUDA C: Recent Developments in Feature Extraction and Selection Algorithms for Data Science
Modern Data Mining Algorithms in C++ and CUDA C: Recent Developments in Feature Extraction and Selection Algorithms for Data Science
товар №: 47709520

Modern Data Mining Algorithms in C++ and CUDA C: Recent Developments in Feature Extraction and Selection Algorithms for Data Science

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товар №: 47709520

UZS 875172

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What Stands Out

Comprehensive Coverage
Offers in-depth exploration of modern data mining algorithms, enhancing the reader's understanding of feature extraction and selection tailored for data science applications.
C++ and CUDA Integration
Integrates C++ and CUDA C for accelerated performance, allowing developers to leverage powerful parallel computing for efficient data processing and algorithm execution.
Recent Developments
Focuses on the latest advancements in data mining techniques, equipping readers with up-to-date knowledge crucial for tackling contemporary challenges in data science.

Информация о продукте

Shop Modern Data Mining Algorithms in C++ and CUDA C: Recent Developments in Feature Extraction and Selection Algorithms for Data Science online at a best price in Uzbekistan. 1484259874
Publisher Apress
Publication date June 6, 2020
Edition First Edition
Language English
Print length 237 pages
ISBN-10 1484259874
ISBN-13 978-1484259870
Item Weight 15.2 ounces (430.92 grams)
Dimensions 7.01 x 0.55 x 10 inches (17.8 x 1.4 x 25.4 cm)

Who Should Buy?

Suitable For
  • Data Scientists

    Ideal for data scientists seeking to implement advanced mining algorithms using C++ and CUDA for performance improvements.

  • C++ Developers

    C++ developers looking to expand their knowledge on data mining algorithms and their practical applications in data science.

  • Academics Researchers

    Researchers in academia who require a deeper understanding of feature extraction and selection algorithms for their studies.

Not Suitable For
  • Beginners

    Not suitable for beginners in programming or data mining, as it assumes a high level of prior knowledge.

ОПИСАНИЕ ТОВАРА

Modern Data Mining Algorithms in C++ and CUDA C: Recent Developments in Feature Extraction and Selection Algorithms for Data Science

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Probability & Statistics Editorial Review

Modern Data Mining Algorithms in C++ and CUDA C: Recent Developments in Feature Extraction and Selection Algorithms for Data Science offers a deep dive into advanced techniques for data science and machine learning. Published by Apress, the first edition of this book is packed with 237 pages of insightful content designed for practitioners and researchers alike. The book provides modern approaches to feature extraction and selection, crucial for enhancing the performance of data mining algorithms. Readers appreciate the clarity in explaining complex concepts, making it a valuable resource for both newcomers and experienced professionals in the field of data science.

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Плюсы

  • Comprehensive coverage of modern data mining techniques
  • Focus on both C++ and CUDA C programming languages
  • Clear explanations make complex topics accessible
  • Ideal for researchers and data science practitioners
  • Well-organized content enhances learning experience

Минусы

  • Minor typographical errors found in some sections

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