Machine learning is a sub-area of artificial intelligence in which computers are trained, using data, to perform a challenging task. Machine learning is used in self driving cars, facial recognition, estimating people’s age from photos, predictions and recommendations. Unlike normal computer systems, machine learning systems need training. The systems learn patterns from data. If the learning process is not correct, or if the data is biased, the system can make mistakes. In this webinar we demonstrate how machine learning works and how one can train an algorithm. We will use the python programming language for this purpose.

Machine learning is a sub-area of artificial intelligence in which computers are trained, using data, to perform a challenging task. Machine learning is used in self driving cars, facial recognition, estimating people’s age from photos, predictions and recommendations. Unlike normal computer systems, machine learning systems need training. The systems learn patterns from data. If the learning process is not correct, or if the data is biased, the system can make mistakes. In this webinar we demonstrate how machine learning works and how one can train an algorithm. We will use the python programming language for this purpose. 

Programming knowledge is not required to participate in the webinar: we demonstrate the training and discuss the results. If you do have programming experience, you can replicate the training steps afterwards. 

Contents:
•    Explanation of machine learning
•    Training a machine learning algorithm
•    Testing an algorithm for accuracy and bias
•    Practical and ethical consequences of using machine learning

Who: HU University of Applied Sciences Utrecht – Economics and Management
When: 17-07-2020 | 14:00 – 15:00 hrs
Speaker: Seiuwert van Otterloo