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Data Mining
Data Mining
Knygos.lt klubas Knygos.lt nariams
88,68 €
-30%
Įprastai
126,69 €
  • Išsiųsime per 12–18 d.d.
-The book covers a wide range of topics related to data mining, including deep learning, decision tree induction, association rule mining, analytical statistics techniques, clustering, and more.-The book provides numerous case studies and examples that illustrate how data mining techniques can be applied in real-world settings, such as in banking, education, software engineering, and weather forecasting.-The book emphasizes the importance of machine learning in data mining and provides a detail…
  • Leidėjas:
  • ISBN-10: 9389183782
  • ISBN-13: 9789389183788
  • Formatas: 17.8 x 25.4 x 1.3 cm, kieti viršeliai
  • Kalba: Anglų

Data Mining (el. knyga) (skaityta knyga) | Nimit Bhakta | knygos.lt

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-The book covers a wide range of topics related to data mining, including deep learning, decision tree induction, association rule mining, analytical statistics techniques, clustering, and more.

-The book provides numerous case studies and examples that illustrate how data mining techniques can be applied in real-world settings, such as in banking, education, software engineering, and weather forecasting.

-The book emphasizes the importance of machine learning in data mining and provides a detailed discussion of various machine learning techniques, such as regression and classification.

-The book uses Python programming language and MapReduce algorithms to illustrate various data mining techniques, making it accessible to readers with programming experience.

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  • Autorius: Nimit Bhakta
  • Leidėjas:
  • ISBN-10: 9389183782
  • ISBN-13: 9789389183788
  • Formatas: 17.8 x 25.4 x 1.3 cm, kieti viršeliai
  • Kalba: Anglų

-The book covers a wide range of topics related to data mining, including deep learning, decision tree induction, association rule mining, analytical statistics techniques, clustering, and more.

-The book provides numerous case studies and examples that illustrate how data mining techniques can be applied in real-world settings, such as in banking, education, software engineering, and weather forecasting.

-The book emphasizes the importance of machine learning in data mining and provides a detailed discussion of various machine learning techniques, such as regression and classification.

-The book uses Python programming language and MapReduce algorithms to illustrate various data mining techniques, making it accessible to readers with programming experience.

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