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Introduction to Machine Learning

Curriculum 
Artificial Intelligence and Machine Learning
Computational Science and Engineering
Data Science and Applications
Path 
AI for Cyber-Physical Systems
Computational Chemistry
Computational Cosmology
Computational Fluid Dynamics
Computational Physics
Data Management and Engineering
Data Processing and Visualization
Data Science for Digital Transportation
Data Science for Healthcare
Data Science for Life Sciences
Data Science for Social Sciences
Data Science in Geodata Science
Foundations of AI and ML
Quantum Computing
Year 
1st year
SSD 
ING-INF/05
TAF 
B
CFU 
6
SEM 
I
Lecturers 
Eric Medvet
Detailed Description 
Esse3 Course Page

Objective: Introduce the students to the machine learning fundamentals, to the main techniques on supervised learning, and to the principal application domains. Present evolutionary calculation. The course explains how to design, develop and evaluate simple ML-based end-to-end systems and, at the same time, how to describe their operations.