ML Productionization Insights
AI has transitioned from experimental to essential, yet many projects still struggle with productionizing models effectively. Continuous learning is crucial, as new data and unforeseen events can necessitate rapid model updates. Often, teams celebrate the initial deployment but fail to establish a robust process for retraining, leading to lost training sets and missed opportunities for improvement.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
SDS 433: Data Science Trends for 2021 — with Ben Taylor
Related Questions