Broadcasting, Data Science and Uncertainty

Three Emerging Analytics Products Derived from Value-driven Data Innovation and Insights Discovery in the Enterprise

Rocket-Powered Data Science

JULY 19, 2023

That is not a totally clear separation and distinction, but it might help to clarify their different applications of data science. Data scientists work with business users to define and learn the rules by which precursor analytics models produce high-accuracy early warnings.

Data-driven

Data-driven Enterprise Analytics Machine Learning

The trinity of errors in financial models: An introductory analysis using TensorFlow Probability

O'Reilly on Data

JANUARY 22, 2019

They trade the markets using quantitative models based on non-financial theories such as information theory, data science, and machine learning. 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.

Modeling

Modeling Finance Uncertainty Data mining

Data Leaders Brief

Three Emerging Analytics Products Derived from Value-driven Data Innovation and Insights Discovery in the Enterprise

The trinity of errors in financial models: An introductory analysis using TensorFlow Probability

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