Data Science Workflow
Montana emphasizes the importance of data curation in data science work, highlighting the significance of feature engineering and data cleaning. Postgres offers robust capabilities for manipulating data, allowing for efficient model building and deployment. The discussion delves into creating training data tables or views and the nuances of feature engineering in data science workflows.In this clip
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Practical AI
Machine learning in your database
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