Malte Tichy
Malte Tichy has a research background in theoretical quantum physics, with a PhD from
the University of Freiburg. He learned the nuts and bolts of applied data science and forecasting within various hands-on and leadership roles at the supply chain software company Blue Yonder. As a Discipline Expert in Data Analytics & AI, he works on forecasts for wind-turbine component reliability and maintenance expenditures at Siemens Gamesa Renewable Energy.
Session
Survival analysis tackles one of the oldest and most universal questions in data science: Can we learn from the past when something will happen in the future? I will introduce you to the core concepts of survival analysis, visualize time-to-event datasets with python and R, and introduce pertinent probability distributions. Classical analysis methods for fitting such datasets - some developed long before the age of modern computing - will be confronted to machine-learning approaches. Along the way, surprising paradoxes and counterintuitive results will reveal why survival analysis is not merely a blend of regression and classification, but an important prediction problem of its own.