We Raised $8M Series A to Continue Building Experiment Tracking and Model Registry That “Just Works”

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Balanced Accuracy: When Should You Use It?

When we train an ML model, we desire to know how it performs, this performance is measured with metrics. Until the performance is good enough with satisfactory metrics, the model isn’t worth deplo...
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How to Do Data Labeling and Data Collection Principles and Process

How to Do Data Labeling and Data Collection: Principles and Process

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