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#MLOpsNYC19
This is not another data science conference about algorithms. The MLOps NYC conference focuses on managing and automating machine learning pipelines, to bring data science into real business applications. The conference will go beyond theory, with industry leaders sharing painful machine learning experiences which involve running experiments at scale, versioning, delivery to production, reproducibility and data access.
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MLOps NYC19 Sessions:
Solving the Complexity of Moving Data Science to Production — MLOps NYC19 Conference Panel
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Solving the Complexity of Moving Data Science to Production — MLOps NYC19 Conference Panel
45:41
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Best Practices for Multiplatform MLOps with Kubeflow and MLflow — MLOps NYC19 Conference Panel
46:23
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Serverless for ML Pipelines from A to Z | Orit Nissan-Messing, Iguazio
24:19
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GET TO THE CORE OF:
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KUBEFLOW ML PIPELINES
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OPEN SOURCE AI TOOLS
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SERVERLESS DEPLOYMENT
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DATA SCIENCE AT SCALE
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DATA ACCESS AND VERSIONING
FEATURED SPEAKERS
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SPONSORED BY:
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