Zinoviev, Dmitry: Data Science Essentials in Python

Collect - Organize - Explore - Predict - Value
CHF 37.50
Einband: Kartonierter Einband (Kt)
Verfügbarkeit: Folgt in ca. 15 Arbeitstagen
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Go from messy, unstructured artifacts stored in SQL and NoSQL databases to a neat, well-organized dataset with this quick reference for the busy data scientist. Understand text mining, machine learning, and network analysis; process numeric data with the NumPy and Pandas modules; describe and analyze data using statistical and network-theoretical methods; and see actual examples of data analysis at work.

ISBN: 978-1-68050-184-1
GTIN: 9781680501841

Über den Autor Zinoviev, Dmitry

Dmitry Zinoviev has an MS in Physics from Moscow State University and a PhD in Computer Science from Stony Brook University. His research interests include computer simulation and modeling, network science, social network analysis, and digital humanities. He has been teaching at Suffolk University in Boston, MA since 2001.

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