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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Tuning Classifier Performance to Your Customer’s Goals
When building a machine learning classifier, especially for a customer, it’s important to think like a product manager. Your goal isn’t always to produce the most technically accurate classifier with a high F1-score or AUC—your goal should reflect whatever your customer’s goal is. Measuring Success The aim of almost every machine learning classification algorithm is […]
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 […]