Feb. 15, 2024, 9:38 p.m. | Wolfram

Wolfram www.youtube.com

Visualizing n-dimensional data requires different techniques than for data with just 2 or 3 dimensions. Projection methods reduce the number of dimensions to 2 or 3, and use color, shape, size or other properties to convey information about the full data. Pairwise methods create n * n arrays of plots, with each individual plot using only 2 of the dimensions at a time. In this talk, we will take a look at some of these methods and the plots built …

arrays color data data visualization dimensions information plot plots projection reduce tabular tabular data visualization

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Software Engineer, Machine Learning (Tel Aviv)

@ Meta | Tel Aviv, Israel

Senior Data Scientist- Digital Government

@ Oracle | CASABLANCA, Morocco