datapine

NOVEMBER 19, 2019

Popularity is not just chosen to measure quality, but also to measure business value. The three most important aspects of collaborative business intelligence are as follows: Knowledge Discovery : When IT departments isolate a user’s experience to mere reports, it can be quite stifling.

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

by HENNING HOHNHOLD, DEIRDRE O'BRIEN, and DIANE TANG In this post we discuss the challenges in measuring and modeling the long-term effect of ads on user behavior. Nevertheless, A/B testing has challenges and blind spots, such as: the difficulty of identifying suitable metrics that give "works well" a measurable meaning.

Modeling 61

Modeling Experimentation Knowledge Discovery Testing 61

Domino Data Lab

DECEMBER 4, 2020

TIME – time points of measured pain score and plasma concentration (in hrs). As each dose is administered at TIME=0 (the other entries are times of concentration and pain measurement), we create an AMT column as follows: pain_df[:"AMT"] = ifelse.(pain_df.TIME.== and 3 to 8 hours. pain_df.TIME.== 0, pain_df.DOSE, missing).

Metrics 59

Metrics Data Science Knowledge Discovery Measurement 59

The Unofficial Google Data Science Blog

JANUARY 14, 2016

Well, it turns out that depending on what it cares to measure, an LSOS might not have enough data. The practical consequence of this is that we can’t afford to be sloppy about measuring statistical significance and confidence intervals. Being dimensionless, it is a simple measure of the variability of a (non-negative) random variable.

Experimentation 41

Experimentation Statistics Metrics Measurement 41

datapine

NOVEMBER 19, 2019

Popularity is not just chosen to measure quality, but also to measure business value. The three most important aspects of collaborative business intelligence are as follows: Knowledge Discovery : When IT departments isolate a user’s experience to mere reports, it can be quite stifling.

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Software 20

Ontotext

MAY 18, 2020

These are the so-called supercomputers, led by a smart legion of researchers and practitioners in the fields of data-driven knowledge discovery. The capacity and performance of supercomputers is measured with the so-called FLOPS (floating point operations per second). What are supercomputers and why do we need them?

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

The Unofficial Google Data Science Blog

JULY 22, 2020

For this reason we don’t report uncertainty measures or statistical significance in the results of the simulation. Ramp-up solution: measure epoch and condition on its effect If one wants to do full traffic ramp-up and use data from all epochs, they must use an adjusted estimator to get an unbiased estimate of the average reward in each arm.

Experimentation 95

Experimentation Statistics Testing Strategy 95