AdaBoost, which stands for Adaptive Boosting, is an ensemble learning algorithm that combines multiple weak learners (e.g., decision trees) to create a strong, accurate model. It is an iterative ...

Boosting is a supervised machine learning algorithm for primarily handling data which have outlier and variance. Recently, boosting algorithms gained enormous popularity in data science. Boosting ...

In Machine Learning context, there are typically two kinds of learners or algorithms, ones that learn well the correlations and gives out strong predictions and the ones which are lazy and gives out ...