Data and Algorithms
Danielle emphasizes the importance of prioritizing data to achieve generalizability in machine learning models. Angela discusses the significance of data collection due to constraints in physical environments. Lukas and Danielle delve into the impact of algorithm improvements on inference time in low-compute settings.In this clip
From this podcast
Gradient Dissent - A Machine Learning Podcast
Angela & Danielle — Designing ML Models for Millions of Consumer Robots
Related Questions