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Artificial neural networks (ANN), are composed of 'neurons' - programming constructs that mimic the properties of biological neurons. A set of weighted connections between the neurons allows information to propagate through the network to solve artificial intelligence problems without the network designer having had a model of a real system.

4 votes

Machine Learning with sometimes missing data

There are couple of ways to deal with missing data. Replace missing values by mean/median. If the missing values is very less, then this method would be apt. Also depends on how skewed your data is. …
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