Practical data science with Python 3 : synthesizing actionable insights from data /

Gain insight into essential data science skills in a holistic manner using data engineering and associated scalable computational methods. This book covers the most popular Python 3 frameworks for both local and distributed (in premise and cloud based) processing. Along the way, you will be introduc...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Varga, Ervin (Professional software engineer) (Author)
Format: Electronic eBook
Language:Inglés
Published: [Berkeley, CA] : Apress, [2019]
Subjects:
Data mining.
Python (Computer program language)
Computer programming.
Data Mining
Exploration de données (Informatique)
Python (Langage de programmation)
Programmation (Informatique)
computer programming.
Data mining
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • Chapter 1.Introduction to Data Science
  • Chapter 2.Data Acquisition
  • Chapter 3.Basic Data Processing
  • Chapter 4.Documenting Work
  • Chapter 5.Transformation and Packaging of Data
  • Chapter 6.Visualization
  • Chapter 7.Prediction and Inference
  • Chapter 8.Network Analysis
  • Chapter 9.Data Science Process Engineering
  • Chapter 10. Multi-agent Systems, Game Theory and Machine Learning
  • Chapter 11. Probabilistic Graphical Models
  • Chapter 12. Security in Data Science.

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