Machine Learning

Faculteit University College Groningen
Jaar 2019/20
Vakcode UCGSC222
Vaknaam Machine Learning
Niveau(s) bachelor
Voertaal Engels
Periode semester I b

Uitgebreide vaknaam Machine Learning
Leerdoelen 1. To understand the term “Machine Learning (ML)” and its applications.
2. To learn the available ML libraries and their applications.
3. To learn how to manipulate data using ML methods.
4. To understand the abstraction of the ML methods, to implement them and to compare the implementation to the existing Python libraries.
5. To understand the differences between supervised learning and unsupervised learning.
6. To be able to decide on the appropriate ML methods for a given problem.
7. To be able to build ML models and to understand their strengths and limitations
Omschrijving The vast amount of data generated every day induced the development of computer programs that use statistical models and algorithms to make decisions based on the available data. This branch of statistical sciences that incorporates knowledge from statistics, computer science, numerical analysis and mathematics is called “Machine Learning”. In this course students will learn supervised learning methods such as linear regression, least square fitting, logistic regression, decision trees, support vector machine and will be introduced to neural networks. In addition, for unsupervised learning the course will cover k-mean clustering, hierarchical clustering and principle component analysis. Python will be the main programming language for the course. Sci-kit-lean, numpy and tensorflow libraries will be used.
Uren per week 8
Onderwijsvorm Computer Lab, Lecture
Toetsvorm Practical, Written exam
Vaksoort bachelor
Coördinator M.A.A. Amin, PhD.
Docent(en) M.A.A. Amin, PhD.
Entreevoorwaarden Knowledge of Python programming is very helpful but not required.
Opmerkingen The course is useful for students planning to pursue a career in machine learning, data science, data management, digital marketing or economy.
Opgenomen in
Opleiding Jaar Periode Type
Liberal Arts and Sciences  (Year 2) - semester I b keuze