Maple Ridge - Dewdney Trunk Road

22420 Dewdney Trunk Road, Maple Ridge, Canada, V2X 3J5
Position your business in a prime location for TV and movie production. From our 22420 Dewdney Trunk Road workspace, you’re...

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MLflow

21 Hours
This instructor-led, live training in Maple Ridge (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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MLflow Consulting
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