Continuous Data Validation with whylogs and Github Actions

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Monitoring streaming data with Kafka and whylogs

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Hands-on Tutorials

With Google Data Studio, lakeFS and Great Expectations

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While taking technical debt into consideration

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Your ML Model has graduated. Now it needs a job.

Getting Started

Keep your machine learning projects under control

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To track and reproduce

  • You are tuning your model. During the process, you find an error in your training pipeline. Or maybe you get hold of a bigger, improved input dataset. You can’t compare apples to oranges, and so you have to repeat all your previous experiments. …

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Felipe de Pontes Adachi

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