Teacher:
ESSE3 Link
Class schedule:
Students Office hours:
KNOWLEDGE AND UNDERSTANDING
The aim of the course is to provide the student with knowledge and skills in the area of machine learning.
At the end of the course the student should be able to:
APPLYING KNOWLEDGE AND UNDERSTANDING
After completing the course, the student must demonstrate that he is able to:
COMMUNICATION SKILLS
At the end of this training activity, the student will be able to express himself clearly and with appropriate terms, using the English language, in the learning discussions as well as expose the results of a research concerning technical aspects of machine learning.
LEARNING SKILLS At the end of this training activity the student will be able to:
Course Slides
Reference books
Other sources Some of the material is taken from the ML Course of Caltech given by Prof. Yaser Abu Mostafa and his collaborators
Additional Material
Exam Dates A.Y. 2015/2016
Exam rules: The exam consists in two sessions: a written session and an oral one. The oral session is reserved for people who pass the written part with a mark greater or equal to 18.
Exam Results
Syllabus
Material