Mastering Dynamic Visualizations with Mathematica
Mathematica provides many approaches to producing dynamic visualizations. This talk uses a number of examples to illustrate the principles involved in constructing graphics sequences, manipulating simulated cameras, building interactive interfaces, and more.
Sports and eSports provide a challenge of communicating computational findings to people who think qualitatively. The Wolfram Language uniquely offers machine learning results, visualizations, interactive tools and cloud-deployed solutions.
This presentation employs techniques of hierarchical distance clustering and machine learning in the Wolfram Language to solve a famous and vexing problem of authorship attribution in medieval history.
Walk through the development of deep learning applications for the processing and analysis of images in the Wolfram Language. Real-world examples provide practical insights on how to effectively leverage neural ...
Discover how to solve PDEs over regions or find eigenvalues and eigenfunctions over regions. Use the latest Wolfram Language functionality to create better PDE models and gain a deeper understanding ...