Meta Models Explained
The discussion highlights the challenge of raw data that fails to accurately represent underlying phenomena. By creating meta models, the team is effectively engaging in feature engineering to derive meaningful insights from this data. This approach not only enhances understanding but also paves the way for more sophisticated analyses.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Reprogramming the Human Genome with AI, w/ Brendan Frey - #12
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