Download STAT 479: Machine Learning Lecture Notes: Sebastian Raschka Department of Statistics University of Wisconsin-Madison PDF Free - Full Version
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About STAT 479: Machine Learning Lecture Notes: Sebastian Raschka Department of Statistics University of Wisconsin-Madison
This document contains lecture notes on ensemble methods for machine learning from STAT 479 at the University of Wisconsin-Madison. It introduces majority voting, soft majority voting, and bagging as ensemble techniques that combine multiple models to improve performance. It also discusses boosting, random forests, and stacking as other ensemble methods and provides an example of how majority voting can reduce error rates compared to individual models.
Detailed Information
| Author: | ['Ash KPJ'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 16 |
| Language: | English |
| Format: | |
| Price: | FREE |
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