This group gathers pioneers of computing methodologies whose primary contribution was building systems that improve their own performance from data or experience rather than following only fixed rules, including statistical and deep learning, artificial neural networks and backpropagation, reinforcement learning, computational and probably approximately correct learning theory, evolutionary computation such as genetic algorithms and genetic programming, and the data science and bioinformatics disciplines that apply these learning techniques to new domains. It follows the Machine learning strand of the ACM Computing Classification System's Artificial intelligence area under Computing methodologies. Their shared work is a system that learns from examples, as distinct from a hand engineered reasoning system, a vision or language specific application of learning, or an autonomous physical device.