RAPID-API will facilitate the rapid development of and experimentation with machine learning in real-time domains such as music performance, health and gaming. It allows users to build interactive systems by demonstrating human actions and computer responses, rather than by programming. It offers a significant range of learning methods such as including neural networks, AdaBoost, support vector machines, k-nearest-neighbor, and decision trees, provided by Gesture Variation Follower and Wekinator.
