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Artificial neural networks (ANN’s) are one of the main tools used in machine learning. As the “neural” part of their name suggests, they are brain-inspired systems that are intended to replicate the way that we humans learn. Neural networks consist of input and output layers, as well as (in most cases) one or more hidden layers that transform the input into something that the output layer can use.
ANN’s are used to identify patterns in large data sets that are too complex or numerous for a human to identify. For example, the correlation between a patients medical data and the chances of them developing specific forms of cancer. Click here to find out more.
A genetic algorithm is software for solving optimisation problems that is based on natural selection; the process that drives biological evolution. The genetic algorithm repeatedly modifies a population of individual solutions.
At each step, the genetic algorithm selects individuals at random from the current population to be parents and uses them to produce the children for the next generation. Over successive generations, the population “evolves” toward an optimal solution.
Chatbots are programs that have been designed to simulate how a human would hold a conversation with a human. Replicating what an expert would usually ask and then offering further questions depending on what response has been received.
Intelligence can be incorporated into the conversation using evidence-based responses, where the next question is dependent on the series of previous answers provided.
Unlike Humans, chatbots can operate 24 hours a day, 365 days a week and without needing to be paid.
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