Data-Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media. Today’s column is written by AJ Brown, CEO and co-founder of LeadsRx.
Uncertainty is an intrinsic part of neural computation, whether for sensory processing, motor control or cognitive reasoning. For instance, it is impossible to determine with certainty the age of a ...
The key idea behind the probabilistic framework to machine learning is that learning can be thought of as inferring plausible models to explain observed data. A machine can use such models to make ...
Our new world of sensors, smartphones, and connected devices means more data than ever — but does it also mean that it’s getting easier to make well-informed decisions? Quite the contrary, in fact.
Bayes' theorem is a statistical formula used to calculate conditional probability. Learn how it works, how to calculate it ...
A probabilistic approach can evaluate the reliability of hydrocarbon pipelines suffering active corrosion defects, taking into account the effect of the correlation between the input variables. A ...
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