E-commerce ML

Every e-commerce interaction — search, browse, recommend, price, promote — is a machine learning decision. The difference between a good recommendation and a great one is the difference between a 2% and a 4% conversion rate, which at scale means hundreds of millions in revenue. This series covers transformer-based product embeddings, contextual bandits for dynamic pricing, graph neural networks for cross-sell, conformal prediction for demand forecasting, real-time fraud detection, and the cold-start problem that plagues every new product launch.

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