2023/2024 - Data Mining & Machine Learning - Prof. Cafaro
Il corso fornisce un'introduzione moderna al data mining, che comprende tecniche, algoritmi e metodologie per scoprire strutture, schemi e relazioni in insiemi di dati (tipicamente di grandi dimensioni) e fare previsioni. Le applicazioni del data mining sono già presenti intorno a noi e, quando sono fatte bene, a volte passano addirittura inosservate. Per esempio, come funziona la ricerca web di Google? Come fa Netflix a consigliare i film ai suoi utenti? I principi del data mining forniscono risposte a queste e altre domande. Il data mining si sovrappone ai campi dell'informatica, dell'apprendimento statistico e delle basi di dati. Il corso mira a fornire agli studenti le conoscenze necessarie per esplorare, analizzare e sfruttare i dati disponibili al fine di trasformarli in informazioni preziose e utilizzabili per un'azienda, ad esempio per facilitare il processo decisionale.
2022/2023 - Parallel Algorithms - Prof. Cafaro
The course provides a modern introduction to the design, analysis and implementation of sequential and parallel algorithms. Regarding sequential algorithms, the course provides an in-depth study of design techniques for sequential algorithms, and focuses on correctness and analysis. Regarding parallel algorithms, the course introduces parallel design and analysis. A pragmatic approach to parallel programming of message-passing based algorithms using the C language and the MPI library complements the theoretical approach.
2022/2023 - Data Mining and Machine Learning - Prof. Cafaro
The course provides a modern introduction to data mining, which spans techniques, algorithms and methodologies for discovering structure, patterns and relationships in data sets (typically, large ones) and making predictions. Applications of data mining are already happening all around us, and, when they are done well, sometimes they even go unnoticed. For instance, how does the Google web search work? How does Netflix recommend movies to its users? The principles of data mining provide answers to these and others questions. Data mining overlaps the fields of computer science, statistical machine learning and data bases. The course aims at providing the students with the knowldedge required to explore, analyze and leverage available data in order to turn the data into valuable and actionable information for a company, for instance, in order to facilitate a decision-making process.