Courses Master Display 2019-2020

Course Description To PDF
Course title Machine Learning for Smart Services
Course code EBC4255
ECTS credits 5,0
Assessment Whole/Half Grades
Period
Period Start End Mon Tue Wed Thu Fri
2 29-10-2019 21-12-2019 X X
Level Advanced
Coordinator Mark Graus
For more information: mp.graus@maastrichtuniversity.nl
Language of instruction English
Goals
After completing this course you:
* Know the relationship between machine learning, artificial intelligence and smart services.
* Will be able to design and implement intelligent systems.
* Will be able to reflect on and evaluate intelligent systems.
Description
Smart services or (more generally) intelligent systems rely on data to automate processes or assist human decisions. There are numerous domains in which they are applied such as predictive maintenance and recommender systems. They all have a set of components in common: input, output and a controller, but they vary on different aspects: such as the level of automation, ranging from suggesting actions to a user to automated, autonomous actions.
After following Machine Learning for Smart Services you will understand the concept of intelligent systems, such as what constitutes them and when they are useful to implement. Building on the knowledge you gained in the course Business Analytics you will learn how to implement and evaluate them.
Literature
* Hulten, Geoff (2018). Building Intelligent Systems: A Guide to Machine Learning Engineering. New York, NY: Apress [ISBN 978-1-4842-3431-0]
* Additional Papers
Prerequisites
* Experience with programming in R
* Basic understanding of predictive modeling and model evaluation
Keywords
Teaching methods PBL / Lecture / Assignment / Papers / Research
Assessment methods Final Paper / Written Exam / Presentation
Evaluation in previous academic year For the complete evaluation of this course please click "here"
This course belongs to the following programmes / specialisations
Master Business Intelligence and Smart Services Compulsory Course(s)