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Explore feature store best practices in this 37-minute conference talk from the Toronto Machine Learning Series. Learn about the importance of feature stores in machine learning, focusing on a case study from FinTech startup Borrowell. Discover techniques for versioning, implementing automatic data updates, and visualizing feature stores using Looker. Gain insights into efficiency improvements for future projects and watch a practical demonstration. Presented by Dean Van Asseldonk, Data Science Manager at Borrowell, this talk offers valuable knowledge for data scientists and machine learning practitioners working with feature stores in the financial technology sector.
