435: Scaling Up Machine Learning
Super Data Science: ML & AI Podcast with Jon Krohn
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Intro
This chapter discusses strategies for scaling machine learning model development in high-throughput environments, including managing operations and addressing feature drift. It also highlights prioritization of R&D projects and essential skills for ML engineers, offering insights for both experienced and novice practitioners in the field.
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Transcript
