The topics addressed in Machine Learning have been distributed as follows:
Students can attend the corresponding lectures of AIML and LAS to prepare the ML exam.
Prof. Luca Iocchi (Home page)
Dipartimento di Ingegneria informatica automatica e gestionale
Università di Roma “La Sapienza”
Via Ariosto 25, Roma 00185, Italy.
(please send an e-mail for an appointment)
Registration is mandatory. Use your real name and ID (matricola).
Some assignments will be evaluated for the final grade.
All the information and submitted material will be kept confidential
and used only for the purposes of this course.
The objectives of this course are to present a wide spectrum of Machine Learning
methods and algorithms, discuss their properties, convergence criteria and applicability.
The course will also present many examples of successful application of Machine Learning
algorithms in different application scenarios.
The main outcome of the course is the capability of the students of solving learning problems,
by a proper formulation of the problem, a proper choice of the algorithm suitable to solve
the problem and the execution of experimental analysis to evaluate the results obtained.