Modern Data Mining Algorithms in C++ and CUDA C: Recent Developments in Feature Extraction and Selection Algorithms for Data Science
Discover a variety of data-mining algorithms that are useful for selecting small sets of important features from among unwieldy masses of candidates or extracting useful features from measured variables.
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

товар №: 47709520

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Discover a variety of data-mining algorithms that are useful for selecting small sets of important features from among unwieldy masses of candidates or extracting useful features from measured variables.
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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)

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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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