The presentation will give an overview of machine learning approaches, and their characteristics from a data science perspective. Machine learning is however more than just selecting a method - there are many aspects that need to be considered to achieve a successful result. Examples will be given of common pitfalls that should be watched out for.
Bio
Anders Holst is a senior research scientist at SICS, and an adjunct professor at the CSC school at KTH Royal Institute of Technology in Stockholm. His research is focused on statistical machine learning and data analysis, with applications to classification, diagnosis, prognosis, and anomaly detection.
