Machine Learning Operations

Learning Goals

Theoretical and practical aspects of the implementation of Machine Learning software projects. Students will be able to comply to data-based software design methods, choosing the most adequate tool for the problem at hand.

Program in pills

Introduction to Software Engineering, Software Processes (activities, cope with chances and RUP), Agile Software Development, UML, Software Versionig and Testing, Scrum and Data-Driven Modelling. ML Operations: introduction, People, Rules, Feature, Concepts, Developing Models, Production, Monitoring, Governance, Testing, Data Representation, Process Mining Analysis

Area

Computer Science and Intensive Computing

Curriculum Foundations
TAF Type

B

Curriculum Industry
TAF Type

B

Curriculum Health
TAF Type

B

Curriculum Economy
TAF Type

B

SSD

ING-INF/05

ECTS

6

Semester

1

Lecturers

Sylvio Barbon Junior
Stefano Cozzini