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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Bibliografski detalji
Glavni autor: Skiena, Steven S.
Autor kompanije: SpringerLink (Online service)
Format: Knjiga
Jezik:English
Izdano: Cham, Switzerland : Springer, c2017
Serija:Texts in Computer Science,
Teme:
Classic Catalogue: View this record in Classic Catalogue
Sadržaj:
  • 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.