Machine learning is used in online shops, in online banking security and in social media. Deep learning generates subtitles for You Tube videos and provides speech recognition on phones and facial recognition for photos. In the Applied Data Science minor, you will explore the possibilities of machine learning and deep learning. You will be able to immediately put into practice the knowledge you gain.
For deep learning, you will battle on Kaggle, the online platform for data scientists. You will participate in two real competitions: one on handwriting recognition and one on image classification. Furthermore, you will contribute to a current project of the Data Science lectorate. Organisations from the region engage this lectorate for questions and challenges where data science can provide an answer or solution. For example, deep learning and machine learning techniques can be used to calculate the passing time of vessels at a lock, predict the loss of power when a wind turbine must be shut down in high winds for safety reasons, or determine the maximum vibration load caused by (freight) traffic on the Zeeland Bridge. In the project, you work with fellow students and with researchers from the lectorate. You will keep your client informed of the project progress. Your work on data during this minor will definitely make a contribution to essential research.