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MLflow Pipelines: Opinionated ML Pipelines in MLflow

Posted Aug 02, 2022 | Views 1.9K
# MLX
# ML Flow
# Pipelines
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SPEAKER
Xiangrui Meng
Xiangrui Meng
Xiangrui Meng
Principal Software Engineer @ Databricks

Xiangrui Meng is a Principal Software Engineer at Databricks and an Apache Spark PMC member. His main interests center around simplifying the end-to-end user experience of building machine learning applications, from algorithms to platforms and to operations.

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Xiangrui Meng is a Principal Software Engineer at Databricks and an Apache Spark PMC member. His main interests center around simplifying the end-to-end user experience of building machine learning applications, from algorithms to platforms and to operations.

+ Read More
SUMMARY

MLflow Pipelines enable data scientists to stay mostly within their comfort zone utilizing their expert knowledge while following the best practices in ML development and delivering production-ready ML projects, with little help from production engineers and DevOps.

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