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Analysis of Data Tables through Artificial Intelligence

  • Introduction to Artificial Intelligence
  • AI Programming (Python, Jupyter Notebook, Google Colab)
  • Automatic Learning (Machine Learning)
  • Random Forest and others
  • Selection of fundamental characteristics
  • Evaluation of results and improvements
  • AutoML (PyCaret, AutoKeras)
  • Analysis of Tables with Neural Networks

Evaluation:  Test

Duration

Course total duration of 09 hours.

Target audience

Researchers, research assistants, students of final graduation projects and supervised professional practice.

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2023 - Technical Support and Software Development Unit (USTDS)