Taieb Data Analysis with Python

A Modern Approach
1. Auflage 2018
ISBN: 978-1-78995-819-5
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 490 Seiten

No detailed description available for "Data Analysis with Python".

Autoren/Hrsg.

Taieb, David

Fachgebiete

• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen

Inhaltsverzeichnis

Table of Contents - Programming and Data Science

- Python and Jupyter Notebooks to Power your Data Analysis
- Accelerate your Data Analysis with Python Libraries
- Publish your Data Analysis to the Web - the PixieApp Tool
- Python and PixieDust Best Practices and Advanced Concepts
- Analytics Study: AI and Image Recognition with TensorFlow
- Analytics Study: NLP and Big Data with Twitter Sentiment Analysis
- Analytics Study: Prediction - Financial Time Series Analysis and Forecasting
- Analytics Study: Graph Algorithms - US Domestic Flight Data Analysis
- The Future of Data Analysis and Where to Develop your Skills

Über Autor(innen)

Taieb David:

David Taieb is the Distinguished Engineer for the Watson and Cloud Platform Developer Advocacy team at IBM, leading a team of avid technologists on a mission to educate developers on the art of the possible with data science, AI and cloud technologies. He's passionate about building open source tools, such as the PixieDust Python Library for Jupyter Notebooks, which help improve developer productivity and democratize data science. David enjoys sharing his experience by speaking at conferences and meetups, where he likes to meet as many people as possible.