Kitchener - 22 Frederick Street

22 Frederick Street, Kitchener, canada, N2H 6M6
Prominent office space in downtown location Establish your business in the heart of downtown Kitchener. Work alongside leadi...

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MLflow

21 Hours
This instructor-led, live training in Kitchener (online or onsite) is aimed at data scientists who wish to go beyond building ML models and optimize the ML model creation, tracking, and deployment process. By the end of this training, participants will be able to:
  • Install and configure MLflow and related ML libraries and frameworks.
  • Appreciate the importance of trackability, reproducability and deployability of an ML model
  • Deploy ML models to different public clouds, platforms, or on-premise servers.
  • Scale the ML deployment process to accommodate multiple users collaborating on a project.
  • Set up a central registry to experiment with, reproduce, and deploy ML models.
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Testimonials (2)

the ML ecosystem not only MLFlow but Optuna, hyperops, docker , docker-compose

Guillaume GAUTIER - OLEA MEDICAL
Course - MLflow

La qualité des explications, et le nombre important de sujets abordés

Hugo SECHIER - Expleo France
Course - Kubeflow on AWS

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