Gradient Boosting with Regression Trees Explained
In this video I explain what gradient boosting is and how it works, from both a theoretical and practical perspective. In general, gradient Boosting is a powerful machine learning technique for building predictive models that involves combining multiple weak models to create a stronger overall model. The idea behind gradient boosting is to iteratively improve the performance of a weak learner by training it on the errors made by the previous model in the sequence.
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Contents
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00:00 - Intro
00:15 - Gradient Boosting Theory
01:57 - Gradient Boosted Regression Trees - Step 0
02:14 - Gradient Boosted Regression Trees - Step 1
02:31 - Gradient Boosted Regression Trees - Step 2
02:48 - Gradient Boosted Regression Trees - Step 3
03:09 - Gradient Boosting Overview
03:59 - Outro
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