Tattar Hands-On Ensemble Learning with R

A beginner's guide to combining the power of machine learning algorithms using ensemble techniques
1. Auflage 2018
ISBN: 978-1-78862-917-1
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 376 Seiten

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Autoren/Hrsg.

Tattar, Prabhanjan Narayanachar

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse

Inhaltsverzeichnis

Table of Contents - Introduction to Ensemble Techniques
- Bootstrapping
- Bagging
- Random Forests
- The Bare Bones Boosting Algorithms
- Boosting Refinements
- The General Ensemble Technique
- Ensemble Diagnostics
- Ensembling Regression Models
- Ensembling Survival Models
- Ensembling Time Series Models
- What's Next?

Über Autor(innen)

Tattar Prabhanjan Narayanachar:

Prabhanjan Narayanachar Tattar is a lead statistician and manager at the Global Data Insights & Analytics division of Ford Motor Company, Chennai. He received the IBS(IR)-GK Shukla Young Biometrician Award (2005) and Dr. U.S. Nair Award for Young Statistician (2007). He held SRF of CSIR-UGC during his PhD. He has authored books such as Statistical Application Development with R and Python, 2nd Edition, Packt; Practical Data Science Cookbook, 2nd Edition, Packt; and A Course in Statistics with R, Wiley. He has created many R packages.