Rocket-Powered Data Science
JULY 7, 2019
Definitions of terminology frequently seen and used in discussions of emerging digital technologies. AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data). Career Relevance.
The Unofficial Google Data Science Blog
APRIL 23, 2024
To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages. Our experimentation platform supports this kind of grouped-experiments analysis, which allows us to see rough summaries of our designed experiments without much work.
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The Unofficial Google Data Science Blog
JANUARY 14, 2016
by AMIR NAJMI Running live experiments on large-scale online services (LSOS) is an important aspect of data science. We must therefore maintain statistical rigor in quantifying experimental uncertainty. In this post we explore how and why we can be “ data-rich but information-poor ”. And an LSOS is awash in data, right?
Occam's Razor
AUGUST 22, 2011
Convert Data Skeptics: Document, Educate & Pick Your Poison. Data Mining And Predictive Analytics On Web Data Works? Web Analytics Data Sampling 411. Build A Great Web Experimentation & Testing Program. Experimentation and Testing: A Primer. Web Analytics Standards: 26 New Metrics Definitions.
The Unofficial Google Data Science Blog
FEBRUARY 29, 2016
Despite a very large number of experimental units, the experiments conducted by LSOS cannot presume statistical significance of all effects they deem practically significant. The result is that experimenters can’t afford to be sloppy about quantifying uncertainty. In statistics, such segments are often called “blocks” or “strata”.
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