Pattern recognition
Budget: $30 – $250 USD
Using some methods mentioned in the files. It is based on MATLAB
here is some References:
Hi all,
Here are some materials for assignment 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.
Hope this helps.
Best regards
here is some References:
Hi all,
Here are some materials for assignment 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.
Hope this helps.
Best regards