Machine learning helps to learn from enormous amounts of data gathered as a direct or indirect product of a process, whether it be an industrial product line, efficient farming for food production, prediction of bacterial growth, or any other industrial, healthcare-related, or technological endeavor. Similar to humans, machine learning extracts patterns from data if enough examples are provided. Reinforcement learning is an action-oriented type of learning in which an agent tries to maximise a given reward signal, without being told explicitly which actions to take. This type of learning is often combined with other types of machine learning. For instance, deep learning is widely applied in scenarios with large state spaces.
The topic of machine learning leads to projects of varying nature such as theoretical (algorithm development, computational efficiency, and convergence of machine learning algorithm, formal representation), algorithm training for classification or regression (see some example projects below), predictive maintenance, and reinforcement learning.
- Intelligent interaction design
If you are interested in the general topic of Machine Learning, or if have your own project idea related to the topic, please contact us directly. Alternatively, you can also work on one of the following concrete project proposals: