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Machine Learning Playground VS Managed MLflow

Compare Machine Learning Playground VS Managed MLflow and see what are their differences

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Machine Learning Playground logo Machine Learning Playground

Breathtaking visuals for learning ML techniques.

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.
  • Machine Learning Playground Landing page
    Landing page //
    2019-02-04
  • Managed MLflow Landing page
    Landing page //
    2023-05-15

Machine Learning Playground videos

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Machine Learning Playground Demo

Managed MLflow videos

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Category Popularity

0-100% (relative to Machine Learning Playground and Managed MLflow)

Machine Learning Playground

Managed MLflow

AI
100 100%
AI
0% 0
Data Science And Machine Learning
56 56%
Data Science And Machine Learning
44% 44
Developer Tools
100 100%
Developer Tools
0% 0
Data Science Notebooks
0 0%
Data Science Notebooks
100% 100

User comments

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What are some alternatives?

When comparing Machine Learning Playground and Managed MLflow, you can also consider the following products

Amazon Machine Learning - Machine learning made easy for developers of any skill level

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.

Lobe - Visual tool for building custom deep learning models

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.

Apple Machine Learning Journal - A blog written by Apple engineers

Iterative.ai - Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.

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