EPISODE #64: How Training-At-Scale Accelerates Deployment Of Machine Learning Models Into Production





Host of "Intelligent Automation Radio"

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Guy Nadivi

Guy Nadivi

Host of "Intelligent Automation Radio"

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Our model consists of a categorical logit distribution for the discrete valued observations. The linear predictors for the probabilities of each of the categories depend on parameters beta. We assign a normal prior, of zero mean and standard deviation 5 to each element of the parameter vector beta.