Over time, deep learning improves the probability of an accurate classification or prediction after many iterations of the "learning" process: Like a human brain, deep networks can learn from ...

A classification problem is a supervised learning problem that asks for a choice between two or more classes, usually providing probabilities for each class. Leaving out neural networks and deep ...

It proposes a model of associative learning which suggests that researchers have got things backwards. Their suggestion, moreover, is supported by an array of experiments.

In my last article I wrote about the difference between AI and Machine Learning (ML). While ML is often described as a sub-discipline of AI, it’s better to think of it as the current state-of ...