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Resources


eBooks and Whitepapers

Popular topics within the ML and MLOps domain.

Ebook
Cover of the Practical MLOps: How to get ready for production models eBook by Valohai
Practical MLOps

How to Get Ready for Production Models

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Ebook
Cover of the Engineering Practices for Data Scientists eBook by Valohai
Engineering Practices for Data Scientists
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Ebook
The cover of the MLOps in the Wild eBook by Valohai
MLOps in the Wild
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Comparisons

Valohai MLOps platform and other platforms in the ML space.

Comparison
Valohai vs. Kubeflow
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Comparison
Valohai vs. SageMaker
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Comparison
Valohai vs. Domino Data Lab
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Comparison
Valohai vs. Databricks
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Articles

Valohai MLOps platform and other platforms in the ML space.

Article
What is MLOps?

MLOps (machine learning operations), sometimes also written as ML Ops, is a practice that aims to make developing and maintaining production machine learning seamless and efficient. While MLOps is relative bg-whitely nascent, the data science community generally agrees that it’s an umbrella term for best practices and guiding principles around machine learning – not a single technical solution.

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Article
What Is a Machine Learning Pipeline?
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Article
What Is Model Deployment?
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Quizzes

Check how well you know MLOps.

Quiz
#MLOpsGenius Certification
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Quiz
MLOps or Pokémon
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Take ML to new places