2010, Data Processing, Risk and Statistics

Changing assignment weights with time-based confounders

The Unofficial Google Data Science Blog

JULY 22, 2020

One reason to do ramp-up is to mitigate the risk of never before seen arms. For example, imagine a fantasy football site is considering displaying advanced player statistics. A ramp-up strategy may mitigate the risk of upsetting the site’s loyal users who perhaps have strong preferences for the current statistics that are shown.

Experimentation

Experimentation Statistics Testing Strategy

Where Programming, Ops, AI, and the Cloud are Headed in 2021

O'Reilly on Data

JANUARY 25, 2021

Observability” risks becoming the new name for monitoring. Healthy growth in artificial intelligence has continued: machine learning is up 14%, while AI is up 64%; data science is up 16%, and statistics is up 47%. And that’s unfortunate. Complex systems running in the cloud will need true observability to be manageable.

Machine Learning

Machine Learning Software Testing Technology

Data Leaders Brief

Changing assignment weights with time-based confounders

Where Programming, Ops, AI, and the Cloud are Headed in 2021

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