The Conference for Machine Learning Innovation

Data Science From Research to Production With Jupyter, Kubeflow & Nuclio

Workshop
Join the ML Revolution!
Register until the conference starts:
✓ Special discount for freelancers
✓10 % Team Discount
Register Now
Join the ML Revolution!
Register until the conference starts:
✓ Special discount for freelancers
✓10 % Team Discount
Register Now
Join the ML Revolution!
Register until December 12:
✓ML Intro Day for free
✓Raspberry Pi or C64 Mini for free
✓Save up to $580
Register Now
Join the ML Revolution!
Register until December 12:
✓ML Intro Day for free
✓Raspberry Pi or C64 Mini for free
✓Save up to $580
Register Now
Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now
Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now
Infos
Wednesday, July 29 2020
09:00 - 17:00
Booking note:
Data Science Workshop
Infos
Monday, November 16 2020
09:00 - 17:00
Booking note:
Data Science Workshop

Deploying machine learning models from training to production requires companies to deal with the complexity of moving workloads through different pipelines and re-writing code from scratch.

Or Zilberman will demonstrate how simple it is to automatically transfer a full machine learning pipeline from Jupyter notebook to scale-out serverless functions for event-driven and real-time applications.

He will also address versioning challenges, showing how serverless functions can enable developers to update machine learning models and code together as a single versioned entity. The session will include a deep walkthrough and interactive demos.

Take me to the full program of Zum vollständigen Programm von Online Edition Online Edition .

Take me to the full program of Zum vollständigen Programm von Munich Munich .

This Session belongs to the Diese Session gehört zum Programm vom Online EditionOnline Edition and  und MunichMunich program. Take me to the program of . Hier geht es zum Programm von Singapore Singapore .

This Session belongs to the Diese Session gehört zum Programm vom Online EditionOnline Edition and  und MunichMunich program. Take me to the program of . Hier geht es zum Programm von Berlin Berlin .

This Session Diese Session belongs to the gehört zum Programm von Online EditionOnline Edition and  und MunichMunich program. Take me to the current program of . Hier geht es zum aktuellen Programm von Online Edition Online Edition , Munich Munich , Singapore Singapore or oder Berlin Berlin .

Behind the Tracks