Sisense

JANUARY 21, 2020

A new drug promising to reduce the risk of heart attack was tested with two groups. Continuing the previous example, let’s assume that blood pressure is known to be a cause for heart attack and the goal of the test drug is to reduce blood pressure. It really depends on the circumstances. Combined 13/60 = 21.67% 11/60 = 18.3%.

Testing 104

Testing Risk Data-driven Statistics 104

Occam's Razor

APRIL 8, 2013

Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. Testing out a new feature. Identify, hypothesize, test, react. But at the same time, they had to have a real test of an actual feature. You don’t need a beautiful beast to go out and test.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

Domino Data Lab

MAY 8, 2019

They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have. Agile was originally about iterating fast on a code base and its unit tests, then getting results in front of stakeholders. evaluate the effects of models on human subjects. Agile to the core.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

datapine

JANUARY 31, 2022

Everything is being tested, and then the campaigns that succeed get more money put into them, while the others aren’t repeated. This methodology of “test, look at the data, adjust” is at the heart and soul of business intelligence. This company was originally founded in 2009 as a black car-hailing service in San Francisco.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214