Leland McInnes
Leland McInnes is a researcher at the Tutte Institute for Mathematics and Computing. He is the author of a number of open source tools for data analysis and machine learning, including UMAP, HDBSCAN, PyNNDescent, EVōC, DataMapPlot and Toponymy.
Sessions
A lot of data scientists use UMAP to help them quickly visualize and explore complex datasets. This could be exploring large unstructured datasets via neural embeddings, or working on LLM explainability by mapping out Sparse Autoencoder features. Making the visualizations good enough, and compelling enough, to present to end users is much harder. However, if done right a good UMAP plot can be a powerful communication tool, or a rich interactive experience that draws users in. Attendees will come away with a sense of what is possible, and an introduction to open source tools that can make it easy.