Machine learning algorithms are the engines of machine learning, meaning it is the algorithms that turn a data set into a model.

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior performance compared to conventional non-machine learning approaches ...

This method of learning is based on repetition. Remember that an algorithm is nothing more than a set of instructions that a computer uses to transform an input into a particular output.

Researchers from Michigan Tech and the University of California, Los Angeles (UCLA) are collaborating on a machine learning model that aims to break the cubic scaling barrier of quantum mechanics.

Quantum questions Machine learning could also have a profound impact on quantum physics, notably solving “quantum many-body problems”. Such problems arise when you have a set of interacting objects ...

Supervised Learning In this section, we introduce several common supervised learning approaches that appear throughout oncology applications. These algorithms take in a set of features and predict a ...

Machine Learning continues to transform the ways we live our lives and run our businesses. However, the meaning and implications of what machine learning is in 2017 are not fully understood by ...

A major theme of our study is that large-scale machine learning represents a distinctive setting in which the stochastic gradient (SG) method has traditionally played a central role while conventional ...