The importance of model versioning in machine learning

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Version control is an essential concept in software development. Version control tools, such as Git, are used to manage and track source codes. Developers and organizations alike value source code because it is the backbone of their product(s), from which they earn revenue. By Oghenefejiro Esosuota.

Machine learning and artificial intelligence offer an edge to businesses and developers over their competitors, motivating the competition to push to build the best model as it provides a business advantage. As developers optimize for speed and accuracy, minimizing errors also becomes a priority. Model versioning is a great tool for all of those purposes.

The article then walks over:

  • What is model versioning?
  • Benefits of model versioning
  • Best practices for model versioning
  • Limitations
  • Tools for model versioning

Model versioning is a valuable part of the development process for machine learning projects because of the need for collaboration, tracking changing codes, and monitoring the model’s performance over time. Good read!

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Tags machine-learning big-data cio data-science learning