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.
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Fit and train all my transformer models on multiple GPUs, in parallel!
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Upcoming Kaggle competitions & Numerai datasets.
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WSL2 + Stack Manager.
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