[ML] Machine Learning

Machine Learning

  • Modeling (What): the process of creating a model to understand how the collected data interact in an specified environment
  • Trial and Error (How): the process of making guesses about what will happen, measuring the output, and updating the model accordingly
  • Predictions (Why, Goal): making correct predictions with new data
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[AWS] Serverless

Serverless” is an architecture where an entire infrastructure is managed by a cloud provider, and the resources are dynamically allocated on demand. A cloud provider handles the infrastructure management tasks (such as capacity provision, patching, auto-scaling, and high availability) so that you can focus on writing code.

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