Can machine learning decode the secret language of baseball signs?
In this experiment, Mark Rober explores whether artificial intelligence can be trained to intercept and interpret the subtle signals used by baseball players to communicate during a game.
Working alongside his friend Jabril, Rober attempts to build an application capable of decoding baseball signs. The project serves as a practical application of neural networks and machine learning, demonstrating how modern AI can be used to identify patterns within complex, real-world data.
Source: Stealing Baseball Signs with a Phone (Machine Learning)
