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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Watch video Gradient Boosting with Regression Trees Explained online without registration, duration hours minute second in high quality. This video was added by user DataMListic 24 February 2023, don't forget to share it with your friends and acquaintances, it has been viewed on our site 12,143 once and liked it 200 people.