Meta-algorithms in Machine Learning

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Please register (free) to attend: 

https://r6.ieee.org/scv-cs/?p=2062

The word ‘meta’ indicates something beyond, a level up, or a higher layer. Meta-algorithms in Machine learning work on top of the known classification and regression algorithms such as Decision Trees, Logistic Regression, and Support Vector Machines to improve the performance substantially. It is often observed that these algorithms fetch top positions in the competition leaderboards and are now commonly used in the industry as well. This talk will cover some of the popular techniques of Meta-learning and explain why they generally work well. The techniques covered will include bagging, boosting, stacking, and algorithms within those broad categories such as random forest, adaboost, and gradient boosting.

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