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Enabling End-to-End Machine Learning Pipelines in Real-World Applications

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Manage episode 236495236 series 1427720
Content provided by O'Reilly Radar. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by O'Reilly Radar or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
In this episode of the Data Show, I spoke with Nick Pentreath, principal engineer at IBM. Pentreath was an early and avid user of Apache Spark, and he subsequently became a Spark committer and PMC member. Most recently his focus has been on machine learning, particularly deep learning, and he is part of a group within IBM focused on building open source tools that enable end-to-end machine learning pipelines.
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443 episodes

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Manage episode 236495236 series 1427720
Content provided by O'Reilly Radar. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by O'Reilly Radar or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
In this episode of the Data Show, I spoke with Nick Pentreath, principal engineer at IBM. Pentreath was an early and avid user of Apache Spark, and he subsequently became a Spark committer and PMC member. Most recently his focus has been on machine learning, particularly deep learning, and he is part of a group within IBM focused on building open source tools that enable end-to-end machine learning pipelines.
  continue reading

443 episodes

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