2006, Experimentation, Machine Learning and Statistics

Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

APRIL 23, 2024

If $Y$ at that point is (statistically and practically) significantly better than our current operating point, and that point is deemed acceptable, we update the system parameters to this better value. And we can keep repeating this approach, relying on intuition and luck. Why experiment with several parameters concurrently?

Experimentation

Experimentation Optimization Uncertainty Metrics

Analytics On The Bleeding Edge: Transforming Data's Influence

Occam's Razor

MARCH 23, 2021

A key part of how this manifested in our work was doing truly super-advanced machine-learning powered analysis to answer hard questions that few can successfully. From 2006: Is Real-Time Analytics Really Relevant? ). This is of course exciting and very cool. More shouting is not really better – and it is expensive!

Analytics

Analytics Scorecard Strategy Testing

Data Leaders Brief

Towards optimal experimentation in online systems

Analytics On The Bleeding Edge: Transforming Data's Influence

Webinars

Stay Connected