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...

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Հիմնական հեղինակ:	Skiena, Steven S.
Համատեղ հեղինակ:	SpringerLink (Online service)
Ձևաչափ:	Գիրք
Լեզու:	English
Հրապարակվել է:	Cham, Switzerland : Springer, c2017
Շարք:	Texts in Computer Science,
Խորագրեր:	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

Բովանդակություն:

What is Data Science?
Mathematical Preliminaries
Data Munging
Scores and Rankings
Statistical Analysis
Visualizing Data
Mathematical Models
Linear Algebra
Linear and Logistic Regression
Distance and Network Methods
Machine Learning
Big Data: Achieving Scale.

The Data Science Design Manual /

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