<ul><li>Gradient Boosting is a machine learning technique that builds a team of Decision Trees to make better guesses.</li><li>Unlike Random Forests where all trees work together, Gradient Boosting builds trees one after another to fix the previous models' mistakes.</li><li>It utilizes the concept of learning from errors, similar to how friends learn from each other to make a good guess.</li><li>The initial step in Gradient Boosting is to start with a simple guess, often the most common answer in the data.</li></ul>

Gradient Boosting in Machine Learning: A Simple Guide

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