DATA SCIENCE AND MACHINE LEARNING APPLICATIONS

In this talk Gabriele Nocco will:

  • Introduce Machine Learning basic concepts (supervised learning, unsupervised learning, feature space).
  • Make a description of a machine learning pipeline (data acquisition, cleaning, preprocessing, etc.).
  • Teach basic algorithms with practical applications in the business world (customer clusterization, forecasting models).
  • Explain the professional figure of the data scientist && how to become a data scientist.

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