O'Reilly on Data

JANUARY 22, 2019

Whether financial models are based on academic theories or empirical data mining strategies, they are all subject to the trinity of modeling errors explained below. For such distributions, parameter values based on historical data are bound to introduce errors into forecasts. Not even close. References.

Modeling 133

Modeling Finance Uncertainty Data mining 133

datapine

NOVEMBER 27, 2019

In 2020, BI tools and strategies will become increasingly customized. It is not only important to gather as much information possible, but the quality and the context in which data is being used and interpreted serves as the main focus for the future of business intelligence. Source: Business Application Research Center *.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Domino Data Lab

MAY 20, 2021

propose a different strategy where the minority class is over-sampled by generating synthetic examples. note that this variant “performs worse than plain under-sampling based on AUC” when tested on the Adult dataset (Dua & Graff, 2017). The class imbalance problem: Significance and strategies. Cost, S., & Salzberg, S.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

bridgei2i

JULY 28, 2020

She’s the founder and CEO of StatWeather, a company, which was recognized as number one in climate technology globally in the year, 2017, by the Energy Risk Awards. She’s the president of European Chamber of Digital Commerce, where she enables companies to develop successful digital strategies in order to shape the digital future.

Enterprise 98

Enterprise Digital Transformation Insurance B2B 98