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MLOps VS Managed MLflow

Compare MLOps VS Managed MLflow and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

MLOps logo MLOps

MLOps is a software platform that enables companies to manage AI production.

Managed MLflow logo Managed MLflow

Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.
  • MLOps Landing page
    Landing page //
    2023-10-05
  • Managed MLflow Landing page
    Landing page //
    2023-05-15

MLOps videos

+ Add

MLOps explained | Machine Learning Essentials

More videos:

  • Review - Coursera Machine Learning Engineering for Production (MLOps) Specialization Review
  • Review - What is MLOps?

Managed MLflow videos

No Managed MLflow videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to MLOps and Managed MLflow)

MLOps

Managed MLflow

Business & Commerce
100 100%
Business & Commerce
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
Data Science Notebooks
0 0%
Data Science Notebooks
100% 100

User comments

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What are some alternatives?

When comparing MLOps and Managed MLflow, you can also consider the following products

SAS Model Manager - SAS Model Manager is a proven, reliable solution for the Analysis Services platform that enables you to integrate multiple environments, tools, and applications using open REST APIs.

Algorithmia - Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.

Domino Data Lab - Domino is a data science platform that enables collaborative and reusable analysis of data.

Weights & Biases - Developer tools for deep learning research

Xyonix - Xyonix is an AI Consulting and Data Science Solution that brings AI, Machine Learning, and Deep Learning to businesses by providing Software Engineering and Advisory services.

neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

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