See Philipp Beer speak at the ML Conference on 5 December 2018 in Berlin!
“Designing proper data collection today improves the quality of ML outcomes tomorrow”
Machine learning may have all sorts of use cases, but forecasting? In honor of the upcoming ML Conference, we talked to Philipp Beer about how data scientists can utilize ML in statistical forecasting. We talk about the advantages and disadvantages of modern vs. classical methods, how can one decide between the two, and where should they turn when they need good predictions for their business KPIs.
