Machine Learning, Artificial Neural Network, Neural Networks, Artificial Neuron.
large amounts of data. Cons: “Black box” nature, meaning it’s hard for researchers to understand why ANNs make the conclusions that they do, since it’s hard to trace back the numeric values these models produce. Longer time to train the model. Requires lots of data, more than a typical algorithm.