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Andre Schumacher

André has been working as a data scientist at Simplaex on machine-learning problems related to adtech for about two years. Prior to that his focus was on recommender systems and search ranking in the online tourism and retail industry. He has industry experience in a wide range of fields and also worked as a data-science consultant for several years. He holds a doctoral degree in computer science from Aalto University and a master’s degree from TU Darmstadt. He is interested in classical machine-learning problems, linear and convex optimization in operations research, and Bayesian modeling and statistics.


  • Hypothesis Testing: Bayesian or Frequentist? Two ways of looking at the same coin (watch on youtube)

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