FineReport

JULY 16, 2021

Business intelligence (BI) leverages data analysis to form actionable insights that inform an organization’s strategic and tactical business decisions. Data Mining. In practical applications, data mining is also used to mine the past and predict the future. How BI system solve the problem? REPORT FILLING.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

The Unofficial Google Data Science Blog

JANUARY 14, 2016

Medicine uses the term “relative risk” to describe effect fraction when referring to the fractional change in incidence of some (bad) outcome like mortality or disease. As noted earlier, effect fractions of 1% or 2% can have practical significance to an LSOS.

Experimentation 41

Experimentation Statistics Metrics Measurement 41

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. Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining.

Experimentation 95

Experimentation Statistics Testing Strategy 95

Domino Data Lab

MAY 20, 2021

This carries the risk of this modification performing worse than simpler approaches like majority under-sampling. Data mining for direct marketing: Problems and solutions. Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, 73–79. Chawla et al. 30(2–3), 195–215.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

The Unofficial Google Data Science Blog

NOVEMBER 4, 2015

These estimates can be useful to make risk-adjusted decisions and explore-exploit trade-offs, or to find situations where the underlying regression method is particularly good or bad. For example, we could use a relatively coarse generalization model for $t$ and rely on calibration to memorize item-specific information.

KDD 40

KDD Testing Machine Learning Modeling 40

Domino Data Lab

AUGUST 1, 2021

For this demo we’ll use the freely available Statlog (German Credit Data) Data Set, which can be downloaded from Kaggle. This dataset classifies customers based on a set of attributes into two credit risk groups – good or bad. Conference on Knowledge Discovery and Data Mining, pp.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139