Stephan Sahm

Machine Learning Reply

Stephan Sahm is senior consultant at Machine Learning Reply for Data Science and Data Engineering. As an outstanding master of cognitive science, master of statistics, as well as a passionate professional programmer he strives towards bringing tomorrow’s Data Science into today’s business. Stephan Sahm joined the Data Science consultancy unit of Machine Learning Reply in 2016 and since then implemented use cases with time-series, NLP, recommendation systems and anomaly detection in production using Python, R and Scala. Julia coming soon. He is responsible for everything around Data Science and Engineering: Giving trainings, workshops and talks, devising use cases and project ideas, implementing proof of concepts, productionisation of PoCs, as well as maintaining data science pipelines in production. Stephan Sahm launched and organizes the Julia User Group Munich, the main driver for establishing Julia within Munich’s Data Science community.

All Sessions by Stephan Sahm

  • 24.06.2020 - Mittwoch


  • 09:00  - 12:00
    The Neural Ordinary Differential Equations paper by Chen et. al. was awarded as one of the 4 best papers at NeurIPS 2018. The core idea is to model a time-series by modelling its derivative with a neural network. In Julia you can readily apply this approach, also with stochastic, delayed and other differential equations. In this workshop you are going to implement such state-of-the-art models yourself - with ease, thanks to Julia. We will go over the theory behind neural differential equations, why Julia is especially apt for this, and experience hands-on its power for predicting time-series. Looking forward to see you all! Prerequisites: No prerequisites. Everyone is highly welcome. If you want to join the hands-on part, just bring your own laptop with junolab.org installed.
    Workshops Advanced
    Where
    E 216




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Stephan Sahm