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For me it’s posterior sampling to generate meaningful uncertainty metrics in very large scale causal inference for understanding location-based behavioral data,
by mlthoughts2018 8y ago
For me it’s posterior sampling to generate meaningful uncertainty metrics in very large scale causal inference for understanding location-based behavioral data, sometimes for ads, sometimes for other modeling problems like image quality, app engagement, etc.