Super Data Science: ML & AI Podcast with Jon Krohn cover image

771: Gradient Boosting: XGBoost, LightGBM and CatBoost, with Kirill Eremenko

Super Data Science: ML & AI Podcast with Jon Krohn

00:00

Exploring the Significance of Gradient Boosting Techniques in Machine Learning

This chapter emphasizes the significance of gradient boosting techniques like XGBoost, LightGBM, and CatBoost in machine learning, particularly in addressing classification and regression problems. The speaker promotes a new course on machine learning level 2 that focuses on practical application of these tools to better prepare students for their careers in the industry.

Transcript
Play full episode

The AI-powered Podcast Player

Save insights by tapping your headphones, chat with episodes, discover the best highlights - and more!
App store bannerPlay store banner
Get the app