Don’t Leave the Models Behind! How to Manage an AI Product Portfolio in Production
In this new article from the Four essential elements of a winning AI Startup series, Ha Pham, Chief Architect at Apixio, explores a key component of a scalable machine learning (ML) pipeline: the lifecycle of a prediction model from creation to release. In the broadest sense, prediction models are classifier systems that can be used […]
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Understanding Classifier Performance: A Primer
When using a machine learning model to provide insights for your clients, it’s important to have a strong understanding of what the client is trying to accomplish. Their goals, risk tolerances, and resources all play a part in tuning your model to give them the best possible outcomes. This primer covers the output of machine […]
Introduction to Machine Learning
This post introduces methods we’ve employed to help us make the best use of our training data, giving a brief introduction to some basics of machine learning and a couple of the problems we face. At Apixio, amongst other things, we use machine learning to predict medical conditions that patients most likely have based on […]