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Daniel Springmann

Machine Learning Engineer

DB Fernverkehr

 

Germany

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Favorite Apps

Python, R, PyTorch, XGBoost, LightGBM

Z by HP Hardware & Software

Areas of Specialty

Denoising Autoencoders, Transformers, NLP, Tabular Data

Daniel is a Machine Learning Engineer at DB Fernverkehr AG and Z by HP Data Science Global Ambassador, based in Frankfurt. His academic background in computer science and business informatics paved the way for a seamless transition into data science. Passionate about exploring the latest advancements in the field, Daniel actively participates in platforms such as Kaggle and Numerai. In his free time, he can often be found running or reflecting on the potential applications of machine learning. With a keen eye for detail and a drive to innovate, Daniel is committed to delivering data-driven insights that push the boundaries of what's possible.


As a Z by HP Global Data Science Ambassador, Daniel's content is sponsored and he was provided with HP products.

“With great power comes great responsibility”

Uncle Ben

Spider-Man

What can you now do on a Z that you couldn’t do before?

Fit and train all my transformer models on multiple GPUs, in parallel!

What is the next thing you want to learn or experiment with on your Z workstation?

Upcoming Kaggle competitions & Numerai datasets.

What’s your favorite Z feature?

WSL2 + Stack Manager.

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