Boosting Ada Boost XGBoost
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- 5 Rating
- 1 Reviews
- 76 Students Enrolled
Boosting Ada Boost XGBoost
Introduction to Boosting Algorithms
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- 5 Rating
- 1 Reviews
- 76 Students Enrolled
Requirements
- MVA knowledge
General Overview
Description
This courses provides an introduction to boosting algorithms. Boosting is a statistical learning method that combines several weak classifiers to a powerful ensemble.
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Meet the instructors !
About the Instructor
Research Interest
- Risk Models
- Machine Learning
- Text Mining
- NFTs, blockchain, Crypto Currencies
Publications
K-expectile clustering (with Wolfgang Karl Härdle and Yingxing Li)
Tail Event Driven Factor Augmented Dynamic Model (with Weining Wang)
Work in Progress
The DAI - Digital Art Index (with Min-Bin Lin, Wolfgang Karl Härdle, Christian Hafner, Artnet)
Understanding NFTs (with Min-Bin Lin, Bruno Spilak)
VizTech & CryptoPunks (with Min-Bin Lin, Wolfgang Karl Härdle)