Live Coding: Avoiding Traffic with Wolfram Language

Explore a data science pipeline using Wolfram Language to avoid traffic during London's morning rush hour in this live coding session. Learn how to call APIs for traffic camera images, apply machine learning to detect cars, process geographic data to create a road network graph, use graph theory to match cameras to nodes, and ultimately discover the least congested route from home to work. Witness raw programming techniques, including handling various data types, managing large datasets, and troubleshooting bugs in real-time. Gain insights into problem-solving methodologies and programming paradigms as Wolfram programmers tackle this traffic avoidance challenge, demonstrating the versatility and power of Wolfram Language in addressing real-world problems.