Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Quantum machine learning algorithms represent an innovative approach that applies the principles of quantum computing to the field of machine learning.

TensorFlow is a Python-friendly open source library for developing machine learning applications and neural networks. Here's what you need to know about TensorFlow.

Google is borrowing from Darwin to make a seismic leap in automatic machine learning. It could spell out the end of most human bias.

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

Feature selection is a critical and prominent task in machine learning. To reduce the dimension of the feature set while maintaining the accuracy of the performance is the main aim of the feature ...

Acknowledging the pain points of the NOVA classification system, researchers have developed a machine learning algorithm to accurately predict the degree of processing for any food.

What is machine learning? Karen Hao Machine-learning algorithms are responsible for the vast majority of the artificial intelligence advancements and applications you hear about.