Artificial Neural Networks
Although there are several machine learning algorithms available to solve data problems, as we have already stated, ANNs have become increasingly popular among data scientists, on account of their ability to find patterns in large and complex datasets that cannot be interpreted by humans.
The neural part of the name refers to the resemblance of the architecture of the model to the anatomy of the human brain. This part is meant to replicate a human being's ability to learn from historical data by transferring bits of data from neuron to neuron until an outcome is reached.
In the following diagram, a human neuron is displayed, where A represents the dendrites that receive input information from other neurons, B refers to the nucleus of the neuron that processes the information, and C represents the axon that oversees the process of passing the processed information to the next neuron: