- Docente: Elena Loli Piccolomini
- Credits: 4
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Bologna
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Corso:
Second cycle degree programme (LM) in
International Relations (cod. 9084)
Also valid for Second cycle degree programme (LM) in International Relations (cod. 9084)
Second cycle degree programme (LM) in Politics Administration and Organization (cod. 9085)
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from Nov 02, 2022 to Dec 14, 2022
Learning outcomes
Workshops are designed to provide students with transversal and multidisciplinary skills that can prove useful in their future careers. At the end of the course, the student has deepened some Machine Learning algorithms for Data Mining and is able to use them for data analysis.
Course contents
Introduction to Machine Learning: clssification and regression.
Most popular ML algorithms for classification and regression.
Python libraries: Pandas, ScikitLearn.
Case studies on simple data sets.
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Readings/Bibliography
A. Geron, Hands-n Machine Learning with SckitLearn, Keras and Tensorflow, 2nd edition.
Teaching methods
Lessons in laboratory.
N.B. Considering the didactic methods used, to attend this activity in presence all the students must have completed modules 1 and 2 of security course [https://elearning-sicurezza.unibo.it/] in e-learning mode.
Assessment methods
Evaluation of a report from a trace given by the teacher.
Teaching tools
slides of the teacher
Office hours
See the website of Elena Loli Piccolomini
SDGs
This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.