Course: Machine Learning with Class(es) credits: 5
- Course code
- BFVH23MACHINE
- Name
- Machine Learning with Class(es)
- Study year
- 2023-2024
- ECTS credits
- 5
- Language
- Dutch, with parts in English
- Coordinator
- D.R.M. Langers
- Modes of delivery
-
- Assignment
- Tutorial
- Assessments
-
- Machine Learning with Class(es) - Other assessment
Learning outcomes
This module has the following learning outcomes
You distinguish different types of Machine Learning and select suitable candidate algorithms on this basis, given a concrete dataset and research question
You investigate the operation of a Machine Learning algorithm using sources so that you can articulate the meaning of relevant hyperparameters
You prepare and explore an existing dataset from the life sciences for the purpose of Machine Learning
You implement and optimise various classification algorithms in Python and reliably evaluate and compare their performance against applicable outcome measures
You document successive steps in data processing and model development and visualise corresponding outcomes reproducibly in a notebook
You develop a simple application that applies a developed Machine Learning model to assign predictions to new data
You critically discuss methods and results both orally and in writing taking into account their biological context
You distinguish different types of Machine Learning and select suitable candidate algorithms on this basis, given a concrete dataset and research question
You investigate the operation of a Machine Learning algorithm using sources so that you can articulate the meaning of relevant hyperparameters
You prepare and explore an existing dataset from the life sciences for the purpose of Machine Learning
You implement and optimise various classification algorithms in Python and reliably evaluate and compare their performance against applicable outcome measures
You document successive steps in data processing and model development and visualise corresponding outcomes reproducibly in a notebook
You develop a simple application that applies a developed Machine Learning model to assign predictions to new data
You critically discuss methods and results both orally and in writing taking into account their biological context
Content
In this module, you will be introduced to Machine Learning techniques and, in particular, perform classification on a self-selected biological dataset. You formulate your own research question and learn how to explore and prepare data. You choose an appropriate type of model and discover what can go wrong if you apply incorrect models. You train your model to make predictions about new cases by detecting patterns in the data, and you reliably evaluate and compare the performance of such models. You will learn to reproducibly document and explain your results to colleagues. The module concludes with a Machine Learning competition where you work in teams to construct the most accurate predictive model possible.
Included in programme(s)
School(s)
- Institute for Life Science & Technology