Machine Learning 31: AdaBoost Algorithm

We present the AdaBoost algorithm and motivate it through boosting the performance of a weak learner into a strong learner. Concretely, for a learning algorithm that produces hypotheses that are slightly better than guessing, we can combine them into a classifier that perfectly classifies a training data set. We illustrate the execution of AdaBoost on a small example using decision stumps as the base learning algorithm.

[@TanveerAziz]

Now I understood AdaBoost perfectly. Thank you. Can I get slides please

[@FelipeArayaable]

Hello Kasper, I loved the video, it is one of the best explanations I have seen so far! you would mind sending the code you used for it, I tried to replicate it and I got the same up until the 3rd stump, and I am not sure why, pls. Thank you!

[@YogaSimha-fn4uq]

Crystal Clear Explanation!

[@nidazahid3499]

Great explanation, precise and clear.

[@RT-ws5cz]

Perfect! Thanks a lot :)