by Superb AI | Nov 11, 2020 | AutoML, Infrastructure, Labeling, MLOps
In this post we’ll dive into the machine learning theory and techniques that were developed to evaluate our auto-labeling AI at Superb AI. More specifically, how our data platform estimates the uncertainty of auto-labeled annotations and applies it to active...
by Tecton | Oct 1, 2020 | Feature Store, MLOps
Data teams are starting to realize that operational machine learning requires solving data problems that extend far beyond the creation of data pipelines. In Tecton’s previous post, Why We Need DevOps for ML Data, we highlighted some of the key data challenges that...
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