Machine Learning, Statistical Learning, Deep Learning and Artificial Intelligence

A.y. 2018/2019
12
Max ECTS
80
Overall hours
SSD
INF/01 SECS-S/01
Language
English
Learning objectives
Undefined
Expected learning outcomes
Undefined
Course syllabus and organization

Single session

Responsible
Lesson period
Third trimester
ATTENDING STUDENTS
Module Statistical Learning, Deep Learning and Artificial Intellingence
Course syllabus
Classification methods
Tree-based methods (cart, random forests, etc)
Regularization methods: Lasso, Lars, Elastic Net
Dimensionality reduction methods
Neural-Networks
Convolutional Neural Networks
Deep-Learning
NON-ATTENDING STUDENTS
Module Statistical Learning, Deep Learning and Artificial Intellingence
Course syllabus
Classification methods
Tree-based methods (cart, random forests, etc)
Regularization methods: Lasso, Lars, Elastic Net
Dimensionality reduction methods
Neural-Networks
Convolutional Neural Networks
Deep-Learning
Module Machine Learning
INF/01 - INFORMATICS - University credits: 6
Lessons: 40 hours
Module Statistical Learning, Deep Learning and Artificial Intellingence
SECS-S/01 - STATISTICS - University credits: 6
Lessons: 40 hours
Professor(s)
Reception:
Wednesday 9:30AM-12:30PM
39, via Comelico. Room P101