The Unofficial Google Data Science Blog

DECEMBER 4, 2019

Others argue that there will still be a unique role for the data scientist to deal with ambiguous objectives, messy data, and knowing the limits of any given model. With those stakes and the long forecast horizon, we do not rely on a single statistical model based on historical trends.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Ontotext

MARCH 24, 2021

For these reasons, publishing the data related to elections is obligatory for all EU member states under Directive 2003/98/EC on the re-use of public sector information and the Bulgarian Central Elections Committee (CEC) has released a complete export of every election database since 2011. The road ahead.

Statistics 142

Statistics Data Processing Publishing Metrics 142

Occam's Razor

JULY 13, 2017

5: What-if Analysis Models. Oh, or your main traffic sources and the visitor acquisition metrics? allow for smart elements like modeling. Strategy 5: What-if Analysis Models. Why not build in a model where the decision maker can change Conversion Rates, to see the impact on Revenue? 2: If Complex, Focus!

Visualization 124

Visualization Strategy Interactive Statistics 124