AR, Little Rock - Regions Center

10800 Financial Centre Pkway #125, Little Rock, united states, 72211

Experience a professional, modern workspace at the Regions Center office at 400 West Capitol Avenue in the heart of d...

AZ, Phoenix - Central Ave Suite 1400

40 North Central Ave, Suite 1400, Pheonix, united states, 85004
The center is conveniently located in downtown Phoenix and in just walking distance to numerous restaurants, shops, and busin...

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MLflow

21 Hours
This instructor-led, live training in Arizona (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 (1)

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

Guillaume GAUTIER - OLEA MEDICAL
Course - MLflow

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