Machine Learning for Sound Localization involves using algorithms to determine the origin of a sound in a three-dimensional space, leveraging data from multiple microphones to train models that can accurately predict sound source positions. This approach enhances traditional signal processing techniques by learning complex patterns and features from audio data, enabling applications in robotics, virtual reality, and hearing aids.