Machine Learning Street Talk (MLST) cover image

#105 - Dr. MICHAEL OLIVER [CSO - Numerai]

Machine Learning Street Talk (MLST)

00:00

Navigating Machine Learning Challenges

This chapter explores the role of symmetry and abstraction in data relationships as researchers discuss machine learning techniques like dimensionality reduction and feature selection, especially in financial contexts. It also addresses the curse of dimensionality, the importance of fairness in model performance, and the need for machine learning systems to adapt to varying data distributions.

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