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https://github.com/statmixedml/statmixedml


https://github.com/statmixedml/statmixedml

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README

          

## :tada: Welcome to my GitHub-Repo



I work as a Machine Learning Scientist with special interest in

- Statistical Machine Learning
- Probabilistic & Distributional Modeling
- Neural Time Series Forecasting
- Foundational Time Series Models
- Representation Learning
- Deep Learning for Tabular Data
- Transfer Learning
- Tree-Based Modeling
- ...


## :bulb: I'm currently working on

Extensions of the major decision tree algorithms to a probabilistic framework that models and predicts the entire conditional distribution of univariate and multivariate targets as a function of covariates.






## :computer: Languages and Tools










## :thought_balloon: Ask me anything about

My areas of interest. But I am also more than happy for an exchange on other interesting topics.


## :speech_balloon: Favourite Quotes


"With four parameters I can fit an elephant, and with five I can make him wiggle his trunk."


— John von Neumann




"For the true is the indicator both of itself and of the false."


— Baruch Spinoza




"I want AI to do my laundry and dishes so that I can do art and writing, not for AI to do my art and writing so that I can do my laundry and dishes."


— Joanna Maciejewska




"What we don't understand, we explain to each other."


— J. Robert Oppenheimer




"An expert is a person who has made all the mistakes that can be made in a very narrow field."


— Niels Bohr




"Damit das Mögliche entsteht, muß immer wieder das Unmögliche versucht werden."


— Hermann Hesse




"Forecasting is less about predicting the future with certainty and more about making informed, data-driven decisions under uncertainty."


— Author unknown



## :chart_with_upwards_trend: GitHub Stats