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Examples of Stochastic Processes in Machine Learning

Hi All,

I am currently taking graduate-level coursework in Stochastic Processes. My hope is to apply Stochastic Processes in Machine Learning. I have just started to think about uses cases, and one particular use case that stands out is having the machine learn which probability distribution to pick from when given a data set, then create "X" amount of random processes. 

As an amateur, I was wondering if anyone else has tried to use stochastic processes in machine learning. What use cases did you apply to? What were some best practices you can share?



Tags: Learning, Machine, Processes, Stochastic, in

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You will find examples in my free book entitled Applied Stochastic Processes, Chaos Modeling, and Probabilistic Properties of Numeration Systems, accessible (to DSC members only), here.


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