Broadcasting, Machine Learning 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

b) Precursor Analytics – the use of AI and machine learning to identify, evaluate, and generate critical early-warning alerts in enterprise systems and business processes, using high-variety data sources to minimize false alarms (i.e., In either case, keeping an eye on the situation is critical for the success of the operation.

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. All models, therefore, need to quantify the uncertainty inherent in their predictions. These factors lead to profound epistemic uncertainty about model parameters.

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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