The Data Science Design Manual /

The Data Science Design Manual /

This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and...

Полное описание

Библиографические подробности
Главный автор: Skiena, Steven S.
Соавтор: SpringerLink (Online service)
Формат: ‌
Язык:English
Опубликовано: Cham, Switzerland : Springer, c2017
Серии:Texts in Computer Science,
Предметы:
Computer science.
Big data.
Data mining.
Pattern recognition.
Mathematics.
Visualization.
Statistics.
Computer Science.
Data Mining and Knowledge Discovery.
Pattern Recognition.
Big Data/Analytics.
Statistics and Computing/Statistics Programs.
Mathematical statistics > Data processing.
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Шифр: 006.312 SKI
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