Date & Venue
Thursday, 16 August 2018, 02:00PM
EF122
Abstract
Machine learning is currently a hot research area which also is getting a lot of attention in the media. Many are talking about artificial intelligence and how automation will change the world and put people out of work. As a community, machine learning is built around open-software and many state-of-the-art tools and models can be downloaded for free. This means that you can tailor the most recent advances in this field to your own research problems with little or no effort. In this talk, I will give an overview and introduction to R and Python which are the most popular programming languages for data science and machine learning. We will cover the basic syntax as well as libraries such as Tensorflow and scikit-learn by considering a few real-world examples. We will also briefly discuss version control and cloud computing using Amazon Web Services and Docker images. After this talk, you will hopefully feel a bit more familiar with the lingo used in software development and perhaps inspired to try out some modern machine learning in your own research.
Speaker Biography
Dr Dahlin is currently a Research Associate at the School of Engineering, University of Newcastle, Australia. He holds a PhD degree in Automatic Control from Linköping University, Sweden as well as a MSc degree in Engineering Physics and a BSc degree in Economics both from Umeå University, Sweden. Dr Dahlin has experience of research in both academia and industry working on e.g., the detection of cancer tumors in medical images, creating decision support systems for medical doctors, the detection of survivors in disaster areas and automating Bayesian inference in dynamical systems. His research interests include Monte Carlo methods, Bayesian modeling and Deep/Reinforcement learning with applications in finance, engineering and medicine.