Database Machine Learning
Charlie discusses the integration of machine learning algorithms within databases, emphasizing how this approach enables developers to create predictive applications without needing extensive data science expertise. He illustrates the concept with examples, such as using customer purchase patterns to inform decisions, like recommending cash withdrawals at ATMs. This native implementation opens up new possibilities for leveraging data insights in real-time applications.In this clip
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SE-Radio Episode 305: Charlie Berger on Predictive Applications
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