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.