Building production-ready machine learning pipelines

from The Data Exchange with Ben Lorica · host Ben Lorica

Hamza Tahir and Adam Probst are co-creators of ZenML, an extensible open source framework for building reproducible pipelines. We discuss the current state of ZenML, the many use cases that ZenML has been designed for, and its near-term roadmap. Download the FREE Report: State of Workflow Orchestration → https://gradientflow.com/2022-workflow-orchestration-survey/?utm_source=gradientflow&amp;utm_medium=DEpodcastSubscribe: Apple • Android • Spotify • Stitcher • Google • AntennaPod • RSS.Detailed show notes can be found on The Data Exchange web site

What this episode covers

Hamza Tahir and Adam Probst are co-creators of ZenML, an extensible open source framework for building reproducible pipelines. We discuss the current state of ZenML, the many use cases that ZenML has been designed for, and its near-term roadmap. Download the FREE Report: State of Workflow Orchestration → https://gradientflow.com/2022-workflow-orchestration-survey/?utm_source=gradientflow&utm_medium=DEpodcast Subscribe: Apple • Android • Spotify • Stitcher • Google • Ante...

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Building production-ready machine learning pipelines

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This episode is 49 minutes long.

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This episode was published on August 11, 2022.

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