Human Data Analytics is an advanced course on Machine Learning techniques applied to data from human sensor systems. Typical signals that will be considered are ECG, speech, inertial signals. The course will present theory and tools for both unsupervised (1st half of the program) and supervised (2nd half) learning. Advanced neural networks (including recurrent neural networks, attention mechanisms and transformers) will be also covered, showing their application to the analysis of human data. Carefully designed laboratory classes will complement the theoretical lessons, allowing the student to implement and apply the tools presented in the theory part. The final exam is project based.
- Teacher: Riccardo Mazzieri
- Teacher: Francesca Meneghello
- Teacher: Michele Rossi