Leland McInnes
Leland McInnes is a senior researcher at the Tutte Intitute for Mathematics and Computing. He works to develop open source tools for data science including UMAP for dimension reduction, HDBSCAN for clustering, and PyNNDescent for approximate nearest neighbor search.
Sessions
04-27
11:45
45min
Data Mapping for Data Exploration
Leland McInnes
As embeddings and and vector databases become ever more popular we need to develop new tools for exploratory data analysis. One such approach is interactive data maps -- using 2D map style representations of the data, combined with rich interactivity that can link back to the source data. We'll look at the open source tools available for building interactive data maps, and work through an example use case.
Rainier