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DataHour: Ensemble Techniques in Machine Learning
DataHour: Ensemble Techniques in Machine Learning
15 Oct 202209:10am - 15 Oct 202210:10am
DataHour: Ensemble Techniques in Machine Learning
About the Event
The bias-variance trade-off is a challenge we all face while training machine learning algorithms. Ensemble methods improve model precision by using a group (or "ensemble") of models which, when combined, outperform individual models when used separately. Different methods could be used to reduce variance or bias.Â
In this DataHour, Ritika will deeply explain the methods of ensembling machine learning models and their working.
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
Who is this DataHour for?
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
About the Speaker
Participate in discussion
Registration Details
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- Professional Exposure
- Networking Opportunities
- Thought Leadership
- Knowledge Exchange
- Leading-Edge Insights
- Community Contribution
