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anton schwaighofer – Principal Research Software Engineer @ Microsoft Research Cambridge

This presentation is a roadmap for running a successful Data Science and AI team. It advocates for a focus on experimental agility, and what is needed to achieve that from different angles. We'll explore the importance of teamwork and a culture of continuous learning. We'll talk about the importance of testability, reproducibility, and learning from mistakes. Also, we'll discuss sharing results and insights within the team to foster collective learning. Lastly, we'll circle back to data quality, emphasizing its crucial role in model performance.

AI/ML Data Quality Data Science
Adventures in AI 2023-06-14 · 18:00
dan ormsby – Senior Consultant @ Dotmatics Ltd

Dan will cover his Python-driven services for high-performance AI applications used in the pharmaceutical industry. Neural Networks and drug-like molecule databases of billions of compounds will be covered. How do you query a billion objects in Python quickly? Dan will show how to cheat with custom C code to extend Python to enable new tricks. Demo site - https://do.dotmatics.net/

AI/ML C#/.NET Python
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