The goal of this webinar is to give participants a better insight into the type of problems that can be tackled using reinforcement learning and active learning, illustrated by several real-world examples from a diverse set of domains.
For each method, its characteristics, advantages and disadvantages will be explained in more detail, as well as the most commonly used algorithm(s) to solve a particular industrial problem.
The aim is to guide the participants in making a conscious choice for the appropriate technique in function of the problem setting at hand, as well as the available data (dimensionality, attribute types, etc.) and the expected model requirements (interpretability, accuracy, scalability, etc.).
If you are interested in other techniques such as deep learning and federated learning you might be interested in checking out the other webinars we are organising.
Price and conditions
- Price: 150 EUR (all prices are exclusive of VAT)
- All webinars are given in English
Our general terms and conditions
Any cancellation has to be made by e-mail (email@example.com). Cancellations made up to the day before the webinar are free of charge. In case of cancellation the day itself, the full amount of the registration will be due. In case of 'no-show' the full amount of the registration fee will be due too. Replacement by a colleague is always possible if notified in advance by e-mail (firstname.lastname@example.org).