Broadcasting, Data mining, Risk and Uncertainty

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

Misleading Statistics Examples – Discover The Potential For Misuse of Statistics & Data In The Digital Age

datapine

DECEMBER 28, 2021

With the rise of advanced technology and globalized operations, statistical analyses grant businesses an insight into solving the extreme uncertainties of the market. Drinking tea increases diabetes by 50%, and baldness raises the cardiovascular disease risk up to 70%! 3) Data fishing. So, can statistics be manipulated?

Statistics

Statistics Advertising Visualization Data mining

Data Leaders Brief

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

Misleading Statistics Examples – Discover The Potential For Misuse of Statistics & Data In The Digital Age

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