Pattern recognition -- 2
Budget: $30 – $250 USD
Project on MATLAB
Hi all,
Here are some materials for project 3:
https://www.pluralsight.com/guides/ensemble-methods:-bagging-versus-boosting (with illustration)
https://www.upgrad.com/blog/bagging-vs-boosting/
Bagging is a parallel ensemble, while boosting is sequential.
Bagging is achieved by random sampling with replacement from the original dataset. Sampling with replacement may repeat some observations in each new training data set. Every element in Bagging is equally probable for appearing in a new dataset.
Boosting is a sequential ensemble method that iteratively adjusts the weight of observation as per the last classification. If an observation is incorrectly classified, it increases the weight of that observation.
Hi all,
Here are some materials for project 3:
https://www.pluralsight.com/guides/ensemble-methods:-bagging-versus-boosting (with illustration)
https://www.upgrad.com/blog/bagging-vs-boosting/
Bagging is a parallel ensemble, while boosting is sequential.
Bagging is achieved by random sampling with replacement from the original dataset. Sampling with replacement may repeat some observations in each new training data set. Every element in Bagging is equally probable for appearing in a new dataset.
Boosting is a sequential ensemble method that iteratively adjusts the weight of observation as per the last classification. If an observation is incorrectly classified, it increases the weight of that observation.