699: The Modern Data Stack, with Harry Glaser
Super Data Science: ML & AI Podcast with Jon Krohn
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The Importance of Deploying ML Models in Products and Monitoring Performance
This chapter emphasizes the necessity of deploying machine learning models into products, especially in industries like fintech for tasks such as fraud prediction and credit assessment. It discusses using tools like dbt for data orchestration in warehouses like Snowflake, monitoring model performance with tools like Looker and Tableau, and exploring newer tools like Preset and SnowSight. Additionally, the conversation delves into the evolution of deep learning models, focusing on large language models, transformers, and the broadening application of deep learning beyond traditional scenarios.
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