General
Introduction to Gradient Boosting
This course provides an academic overview of gradient boosting, focusing on its theoretical foundations and applications in machine learning. Participants will gain an understanding of the principles behind gradient boosting algorithms and their advantages over other methods.
Modules
3
Lessons
6
Access
free
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Modules and lessons
Module 1
Fundamentals of Gradient Boosting
Understand the basic concepts and principles of gradient boosting.
Lesson 1: What is Gradient Boosting?
Lesson 2: Key Components of Gradient Boosting
Module 2
Theoretical Foundations
Explore the theoretical underpinnings of gradient boosting techniques.
Lesson 1: Loss Functions in Gradient Boosting
Lesson 2: Gradient Descent and Boosting
Module 3
Applications and Advantages
Evaluate the applications and advantages of gradient boosting in various contexts.
Lesson 1: Use Cases of Gradient Boosting
Lesson 2: Comparative Advantages