Ensemble algorithms part 2 | aiensured.com

In several algorithms related to machine learning it is a better idea to use A combination of several smaller problems to get the result of the larger problem. Such an approach is termed as ensemble algorithms
Some of the more popular algorithms in this category are bagging boosting and stacking algorithms
The bagging algorithm tries to aggregate the results of several small subproblems where each subproblem is created from original dataset with replacement
The boosting algorithm works on combination of several weak classifiers on the larger data itself Each iteration tries to boost results not performing well in previous iteration
Stacking tries to apply one machine learning algorithm on results of another machine learning algorithm by stacking one on the other..
To learn more about Artificial Intelligence, subscribe to our CZcams channel: / @aiensured
Watch more videos on Artificial Intelligence: • Artificial Intelligenc...
For more updates follow us on:
Facebook: / testaingcom-3768195429...
Twitter: / testaing
LinkedIn: / testaing
Website: www.testaing.com/contact-us-2/
#ai #ml #machinelearning #adaboost #randomforest #xgboost #ensemble #bagging # stacking
#AritificialIntelligence #AritificialIntelligenceTutorial #AritificialIntelligenceBasics #AI #ML