Then I’ll discuss 14 of the most commonly used machine learning and deep learning algorithms, and explain how those algorithms relate to the creation of models for prediction, classification ...

The cost function in several machine learning algorithms is minimized using the optimization approach gradient descent. Its primary objective is to update the parameters of a learning algorithm. These ...

DeepMind is trying to combine deep learning and algorithms, creating the one algorithm to rule them all: a deep learning model that can learn how to emulate any algorithm, generating an algorithm ...

That’s where semi-supervised and unsupervised learning come in. With unsupervised learning, an algorithm is subjected to “unknown” data for which no previously defined categories or labels ...

Geoffrey Hinton is once again in the AI spotlight, this time with new research that achieves a tremendous performance leap in image recognition using unsupervised learning. The AI pioneer and Turing ...

Unsupervised learning is used mainly to discover patterns and detect outliers in data today, but could lead to general-purpose AI tomorrow Credit: AnthiaCumming / Getty Images ...