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The holy grail of data science : rapid model development and deployment / Moon Soo Lee, Louis Huard.
- Format:
- Video
- Author/Creator:
- Lee, Moon Soo, on-screen presenter.
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Machine learning.
- Application software--Development.
- Application software.
- Business enterprises--Data processing.
- Business enterprises.
- Computer software--Development.
- Computer software.
- O'Reilly Artificial Intelligence Conference (2019 : San Jose, California).
- O'Reilly Artificial Intelligence Conference.
- Physical Description:
- 1 online resource (1 streaming video file (32 min., 42 sec.)) : digital, sound, color
- Place of Publication:
- [Place of publication not identified] : O'Reilly Media, 2019.
- Summary:
- "A key step in the data science workflow is rapid model development in order to create, test, and identify the best models to put into production. However, large gaps exist in this workflow, and the data science tool set is rapidly changing to fill those gaps. Large teams and enterprises are quickly moving from using individual siloed notebooks like Zeppelin and Jupyter to wanting to share and reuse models, code, and results. Challenges also exist in deploying models into production and model serving using tools like Kubeflow and TensorFlow. Moon Soo Lee and Louis Huard explore real-world examples of how companies are solving these problems, and how you can use these best practices in your own workflow. This session is from the 2019 O'Reilly Artificial Intelligence Conference in San Jose, CA."--Resource description page.
- Participant:
- Presenters, Moon Soo Lee, Louis Huard.
- Notes:
- Title from title screen (viewed July 22, 2020).
- "This session is sponsored by Zepl."
- OCLC:
- 1177139899
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