The machine learning life cycle, Part 1 Methods for understanding data AI/ML Kubernetes Faisal Masood Principal Architect and AI/ML Lead I think of machine learning as tools and technologies that help us find meaning in data In this article, we'll look at how understanding data helps us build better models This is the first article in a series that covers aJenny Brown cohosts with Mark Mirchandani this week for a great conversation about the ML lifecycle with our guests Craig Wiley and Dale Markowitz Using a reallife example of bus cameras detecting potholes, Dale and Craig walk us through the steps of designing, building, implementing, and improving on a piece of machine learning software The first step, Craig tells us, is to identify The ML lifecycle will serve as our lens in navigating the MLOps landscape As we've mentioned in the previous post, a good MLOps tool should provide the needs, address the wants, and quell the frustrations of our researchers and engineers A good MLOps tool should provide our researchers' and engineers' needs, address their wants, and quell their frustrations We will
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