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.
Classic Catalogue:	View this record in Classic Catalogue

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