Portale di Ateneo - En.Unibs.it

DEEP LEARNING

Single discipline educational activity
Course Sheet
Academic Year of enrolment: 
2018/2019
Academic Year of provision: 
2019/2020
Type of Course: 
Student's own choice
Degree: 
Master's Degree Programme in COMPUTER SCIENCE AND ENGINEERING
Disciplinary Sector: 
Computer Science
Language: 
Italian
Grouping type: 
Credits: 
3
Programme Year: 
2
Professor and Collaborators: 
SERINA Ivan Professor
Cycle: 
First semester
Hours of classroom activity: 
30
Hours of individual study: 
45

Skills acquired in the Machine Learning & Data Mining course.

Fundamentals of mathematics considering in particular mathematical analysis and linear algebra (matrices and vectors)
Fundamentals of probability and statistics.
Fundamentals of rogramming, in particular Java or Python