2007 Experimentation Risk 
O'Reilly on Data
APRIL 4, 2024
As Bill Janeway noted in his critique of the capital-fueled bubbles that resulted from the ultra-low interest rates of the decade following the 2007–2009 financial crisis, “ capital is not a strategy.” Venture capitalists don’t have a crystal ball.
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
JULY 22, 2020
One reason to do ramp-up is to mitigate the risk of never before seen arms. 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. For example, imagine a fantasy football site is considering displaying advanced player statistics.
O'Reilly on Data
DECEMBER 9, 2019
As the number of experimental trials N approaches infinity, the probability of E equals M/N. Modern portfolio theory assumes that rational, risk-averse investors demand a risk premium, a return in excess of a risk-free asset such as a treasury bill, for investing in risky assets such as equities. on average.
CIO Business Intelligence
AUGUST 4, 2023
What are some of the steps that you are taking to foster a culture of innovation and experimentation amongst the employees and customers, and encourage them to move towards digital transformation in in their work? There can be parts of the industry which are still working on redundant legacy systems.
Domino Data Lab
FEBRUARY 4, 2019
Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. The ability to measure results (risk-reducing evidence). Ensure a culture that supports a steady process of learning and experimentation.
The Unofficial Google Data Science Blog
JUNE 30, 2016
In an ideal world, experimentation through randomization of the treatment assignment allows the identification and consistent estimation of causal effects. 2007): Propose a finite collection $mathcal L={hat e_k:k=1,ldots,K}$ of estimation algorithms. This is often referred to as the positivity assumption.
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