Machine Learning For Networking – Politecnico di Torino

• Additional material, including slides and code fragments, will be made available on the course website.

Argomenti del programma: Machine learning and pattern recognition - Introduction and definitions Probability theory concepts - Random Variables - Estimators - The Bayesian framework Introduction to Python - The language - Main numerical libraries Decision Theory - Inference, expected loss - Model taxonomy: generative and discriminative approaches - Model optimization, hyperparameter selection, cross-validation Model evaluation -…