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PODCAST · science

Data Science Phil

by Philipp Packmohr

In this podcast we talk about data science and related topics

Publisher-supplied feed metadata · PodParley refreshed Sep 5, 2025 · Source feed

Episodes

  1. The Fermi Problem

    In this episode I talk to Bence Mélykúti, DPhil. Bence has an MSc degree (incl. undergrad studies) in mathematics from the Mathematical Institute of the Eötvös Loránd University (ELTE), Budapest, Hungary. He defended his doctoral thesis in January 2011 at the University of Oxford, UK, where he…

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  2. The case-crossover design via penalized regression

    In this episode I talk to Sam Doerken. Sam is a mathematician by training, having studied mathematics at the University of Heidelberg. He did his diploma thesis in mathematics on Probabilistic Forecasting of U.S. Treasury Bills . Since 2012 he works at the Institute of Medical Biometry and...

  3. Probabilistic Forecasting of U.S. Treasury Bills

    In this episode I talk to Sam Doerken. Sam is a mathematician by training, having studied mathematics at the University of Heidelberg. He did his diploma thesis in mathematics on Probabilistic Forecasting of U.S. Treasury Bills . Since 2012 he works at the Institute of Medical Biometry and...

  4. Theory of Distributed Computation

    In this episode I talk to Philipp Schneider, PhD student in theoretical computer science in Fabian Kuhns group at the University of Freiburg. Before that he studied computer science at the Karlsruhe Institute of Technology. Philipps reseach is concerned with the Theory of Distributed Computation....

  5. Artificial Neural Networks

    Dr. Sebastian Ritterbusch and me talk about neuronal networks at #GPN19 in Karlsruhe, Germany.

  6. Open problems in mathematics

    In this episode I talk to Gaetan Leclerc about some open problems in mathematics, part of the so called Millenium problems. Gaeton is a first year master student at the ENS Rennes. Before that he studied mathematics at the École Normale Supérieure de Rennes (ENS Rennes). We cover the…

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  7. Statistical significance

    Thoughts about a commentary by Amrhein et al. In Nature .

  8. Optimization

    Optimization

  9. Xtensor with Wolf Vollprecht

    Interview with Wolf Vollprecht at #PyConDE

  10. Python in engineering with Nico Liebers

    Interview with Dr.Ing. Nico Liebers at PyConDE, the German Pycon.

  11. Weather forecasting with Lena Volzhina

    Interview with Lena Volzhina at #PyConDE, the German Pycon.

  12. Chromebook Data Science

    Check out Jeff Leeks chromebook data science course !

  13. Regression

    In this episode we talk about regression.

  14. Statistical Evaluation

    In this episode we talk about statistical Evaluation.

  15. Estimation and estimators

    In this episode we talk about estimators.

  16. Probability distributions

    In this episode we cover probability distributions.

  17. Probability

    In this episode we talk about #probability #theory .

  18. Descriptive Statistics

    In this episode we are talking about #descrptive #statistics

  19. The R language

    In this episode we talk about R

  20. Introduction

    This is the Introduction to the podcast

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ABOUT THIS SHOW

In this podcast we talk about data science and related topics

HOSTED BY

Philipp Packmohr

CATEGORIES

Frequently Asked Questions

How many episodes does Data Science Phil have?

Data Science Phil currently has 21 episodes available on PodParley. New episodes are automatically indexed when they're published to the podcast feed.

What is Data Science Phil about?

In this podcast we talk about data science and related topics

How often does Data Science Phil release new episodes?

Data Science Phil has 21 episodes. Check the episode list to see recent publication dates and frequency.

Where can I listen to Data Science Phil?

You can listen to Data Science Phil on PodParley by clicking any episode. We provide an embedded audio player for direct listening, and you can also subscribe via your preferred podcast app using the RSS feed.

Who hosts Data Science Phil?

Data Science Phil is created and hosted by Philipp Packmohr.
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