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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
Main Author: Varga, Ervin
Format: eBook
Language:English
Published: Berkeley, CA Apress 2019, 2019
Edition:1st ed. 2019
Subjects:
Big Data
Open Source Software
Python
Open Source
Python (computer Program Language)
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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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