Riccardo Ricciarello

110/110
In this course of study I chose to carry out an individual path that had to do with the issues of Big Data Analysis, Machine Learning, Data Mining, Classification and Data-Driven Decision Making.
I deepened my knowledge on Clustering and Factor Analysis through R and SPSS, I used software such as SAS Enterprise Miner, SAS Viya and Python for Machine and Deep Learning algorithms on data and images. Currently I have finished the exams and I am writing the thesis: the construction… Visualizza altro

110/110
In this course of study I chose to carry out an individual path that had to do with the issues of Big Data Analysis, Machine Learning, Data Mining, Classification and Data-Driven Decision Making.
I deepened my knowledge on Clustering and Factor Analysis through R and SPSS, I used software such as SAS Enterprise Miner, SAS Viya and Python for Machine and Deep Learning algorithms on data and images. Currently I have finished the exams and I am writing the thesis: the construction, through Python, of an algorithm of a Recommender System.

The thesis that I developed, entitled "Design and development of a recommendation system for musical tracks", is about finding the best recommendation algorithm for data deriving from music listening. Meno dettagli

During the course of study I learned techniques of representation and data management through the analysis of statistical data and predictive models accompanied by an appropriate IT, mathematical and probabilistic preparation. Through laboratories, individual projects and, mainly, group I learned to know and use data processing and forecasting software (such as SAS, SPSS, R, Matlab, Excel, Gretl), data organization (such as MySQL, Microsoft Access) and theory of queues (like… Visualizza altro

During the course of study I learned techniques of representation and data management through the analysis of statistical data and predictive models accompanied by an appropriate IT, mathematical and probabilistic preparation. Through laboratories, individual projects and, mainly, group I learned to know and use data processing and forecasting software (such as SAS, SPSS, R, Matlab, Excel, Gretl), data organization (such as MySQL, Microsoft Access) and theory of queues (like ExtendSim).

The thesis, entitled "Safety and efficacy of TRT123 treatment: a double-blind, randomized, placebo-controlled pilot study", it was developed together with the company where I was doing internship as part of an ongoing pharmaceutical study, is about finding the best recommendation algorithm for data deriving from music listening. Meno dettagli

I have acquired the mathematical and physical principles for the understanding of Electronic Engineering and the knowledge of the circuit systems and the signals that cross them.
During the course I participated in some group projects for the design and study of circuits and the movement of signals through these, learning to know and use tools such as Multimeters, analog and digital Oscilloscopes, counter frequency meter.
I have also acquired the basics of Spice software, C and C++… Visualizza altro

I have acquired the mathematical and physical principles for the understanding of Electronic Engineering and the knowledge of the circuit systems and the signals that cross them.
During the course I participated in some group projects for the design and study of circuits and the movement of signals through these, learning to know and use tools such as Multimeters, analog and digital Oscilloscopes, counter frequency meter.
I have also acquired the basics of Spice software, C and C++ language and, independently, those for Matlab software for matrix study. Meno dettagli