Data Challenges Ahead
The recent data landscape has drastically shifted, rendering holdout sets from 2020 to today largely ineffective for model training. Long-term forecasts may offer some protection against economic downturns, but the unique nature of recent events complicates this assumption. As models are developed, understanding underlying biases and adapting to new data generation processes is crucial for accurate predictions.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
SDS 511: Data Science for Private Investing — LIVE with Drew Conway
Related Questions