Machine learning feasibility analysis

Machine learning is a practice where computers use different algorithms to search relationships, patterns and trends. The goal is to learn something new or make predictions about the possible outcome. It is possible to use the data generated in public sector to learn how to improve the efficiency of activities and how to deliver the best quality services to society.

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STACC helps to get started with machine learning by providing the machine learning feasibility analysis. As a result:

  • the quality and deficiencies of the data generated are identified;
  • different machine learning models are created and their performance assessed;
  • an action plan and budget for the final solution is prepared.