Speaker
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✓Save more than 500 € and get ML Intro Day for free
✓ Workshop day for free
✓10 % Team Discount
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Register until December 12:
✓ML Intro Day for free
✓Raspberry Pi or C64 Mini for free
✓Save up to $580
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Register until November 7th:
✓Save up to € 210
✓10% Team Discount
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Register until November 7th:
✓Save up to € 210
✓10% Team Discount
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Infos
14:15 - 15:00
Saal A+B
Description
Development of machine learning models happens mostly in Jupyter Notebooks these days. To bring them into production, Data scientists struggle sometimes. In this talk, I will show how to transfer your great Jupyter notebook into a docker image that allows you to train your model locally. This local model will also let you predict locally as a service. The nice benefit of this docker image is its scalability: You can, for instance, upload it to AWS Sagemaker and run it on any instance type you want. I will also show you how to implement a prediction endpoint as a callable API.
This Session belongs to the Diese Session gehört zum Programm vom BerlinBerlin program. Take me to the program of . Hier geht es zum Programm von Online Edition Online Edition .
This Session belongs to the Diese Session gehört zum Programm vom BerlinBerlin program. Take me to the program of . Hier geht es zum Programm von Munich Munich .
This Session belongs to the Diese Session gehört zum Programm vom BerlinBerlin program. Take me to the program of . Hier geht es zum Programm von Singapore Singapore .