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This post from the Chromium Blog discusses using machine learning to combat unwanted notification prompts in Chrome.
This post describes Square's development of a RoBERTa-based ML model for accurately categorizing merchants into business types.
This article explains PayPal's Delta CV (Delta Customer Value) framework, which uses causal inference and synthetic control to measure the incremental profit impact of product adoptions and user actions.
This post from the Chromium Blog discusses how machine learning techniques were applied to improve the Chrome address bar (Omnibox) experience on Windows, Mac, and ChromeOS.
PayPal describes their declarative (config-based) feature engineering paradigm used for real-time fraud detection ML across 400 million users.
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