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May
18
apply(conf)- The ML Data Engineering Conference

It is geared for data and ML teams to discuss the practical data engineering challenges faced when building ML for the real world. Participants will share best practice development patterns, tools of choice, and emerging architectures they use to successfully build and manage production ML applications. Everything is on the table from managing labeling pipelines, to transforming features in real-time, and serving at scale.

Topics include:
• Best practices development patterns
• Tooling and infrastructure of choice
• Managing labeling pipelines
• Transforming and serving features in real-time
• Serving at scale

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Date
May 18 - May 19
Time
3:30pm - 8:30am (EDT)
Online
This is an online event at Online
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