Philip West

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How Can I Make Sense of Machine Learning Output? With Probabilities.

When it comes to classification models in machine learning, a common hurdle for many businesses is how to take what seem like arbitrary scores from their machine learning pipeline’s model output and translate them into human interpretable numbers that can be used in practice.  Let’s say a retail company wants to predict which existing customers […]

Open the Black Box with Explainable ML

Machine learning. Everybody is either doing it or trying to get their data organized so they can start.  The list of use cases that ML can be applied to is ever-growing, and businesses are picking them off one by one. But while the machines are getting smarter and helping us intelligently automate more and more […]