Machine learning solution workflow

In general, the main tasks involved in solving a machine learning problem can be summarized into four areas, as follows:

  • Data preparation
  • Training sets generation
  • Model training, evaluation, and selection
  • Deployment and monitoring

Starting from data sources to the final machine learning system, a machine learning solution basically follows the following paradigm:

In the following sections, we will be learning about the typical tasks, common challenges, and best practices for each of these four stages.

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