Welcome to the University of Jyväskylä physics colloquium.
Types of data-driven machine learning consist of supervised, unsupervised, and reinforcement learning methods. Here, I will discuss unsupervised and supervised methods, which have provided excellent results in various applications. The amazing results, however, might be difficult to reproduce. In fact, there are many aspects in relation to especially currently popular deep learning techniques which makes their use complicated and nontransparent. Surprisingly, by imitating classical linear regression, simple but yet powerful machine learning approaches can be derived. In this presentation, I will present and exemplify these techniques and some of their background in the context of monolayer-protected clusters.
On Friday 15th March at 10 am in FYS1 and Zoom (passcode 890524). Coffee will be served in the lobby. Although on-site attendance is the preferred option, you can also join via Zoom.
