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MunichDataGeeks

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Decks

Florian Haselbeck- Advancing Synthetic Protein Design with Large Language Models
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52
Tobias Ladner- Formal Verification of Neural Networks in Safety-Critical Environments
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69
Uladzislau Sazanovich - JetBrains AI: Deep Dive
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57
Thomas Schmidt - Revolutionizing SQL Data Model Testing: Introducing SQL-Mock by DeepL

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40
Jan Hauffa - A Case Study on Retrieval-Augmented Generation for Document Q&A: Experiences and Future Perspectives

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80
Maximilian Duesberg - The Data is Clear - But Humans are not

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89
Dr.Christoph Mittendorf-Beyond Bard and Transformers: Unconventional ML Use Cases
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130
Heidi Seibold - Are (data) scientists bad at science?
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120
Sebastian Schwarz- A Competitive Time-Trial AI for Need for Speed: Most Wanted Using Deep Reinforcement Learning
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150
Florian Pfisterer- Fairness in automated decision making
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55
Roland Rodde- Vegetation management for powerlines with remote sensing data
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130
Applying Model-Based Optimization to Hyperparameter Optimization in Machine Learning
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240
PILL/CANDY DEFECT DETECTION
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290
Gerrit Gruben: Limits of Data Science and other ethical considerations
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400
Ben Flood - Insurance Stuff for DataGeeks
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330
Michael Green: Deep probabilistic neural networks - A way forward
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420
Transfer Learning for Fun and Profit
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150
Word Embeddings - the Good, the Bad, and the Ugly
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170

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