
Reflections from the First AI Conference in San Francisco
The Data Exchange with Ben Lorica
00:00
Ensembles in Machine Learning
This chapter discusses the use of ensembles in machine learning, including how they can be used to combine answers from multiple models and the concept of probabilistic circuits. It explores practical methods like random forest and gradient boosting, as well as the potential for ensembles in economic games.
Transcript
Play full episode