Drop-in Resources for Accelerating (Biological) Data Science
Details
PyData Pittsburgh is excited to host our next event: Drop-in Resources for Accelerating (Biological) Data Science. Join us Tuesday May 12th as Ben Busby from NVIDIA walks us through rapids.ai, a suite of open-source Python libraries designed to accelerate data science workflows on the GPU.
Topics will include:
- Vector search
- Really big graphs
- Sparse matrices
- Accelerated random forest and XGBoost
- RAPIDS Single Cell and related tools
Doors open: 6:30PM
Talk Starts: 7:00PM
About the talk: Check out drop in libraries and recipes for everything from rapid data access to traditional machine learning to model tuning! We'll use the biological sciences as an example, but many of these tools are applicable to any data scientist!
About the speaker: Ben Busby is a Global Alliances Manager at NVIDIA where he helps medical research companies apply advanced AI & ML. He also serves as Adjunct Faculty at Carnegie Mellon University in the Computational Biology Department.
