EPISODE · Dec 10, 2019 · 29 MIN
Serverless NLP Model Training
from Data Skeptic · host Kyle Polich and Alex Reeves
Alex Reeves joins us to discuss some of the challenges around building a serverless, scalable, generic machine learning pipeline. The is a technical deep dive on architecting solutions and a discussion of some of the design choices made.
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Serverless NLP Model Training
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Frequently Asked Questions
How long is this episode of Data Skeptic?
This episode is 29 minutes long.
When was this Data Skeptic episode published?
This episode was published on December 10, 2019.
What is this episode about?
Alex Reeves joins us to discuss some of the challenges around building a serverless, scalable, generic machine learning pipeline. The is a technical deep dive on architecting solutions and a discussion of some of the design choices made.
Can I download this Data Skeptic episode?
Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.
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