Machine learning and deep learning are both core technologies of artificial intelligence. Yet there are key differences between them. Written by eWEEK content and product recommendations are ...

Common machine learning algorithms There are dozens of machine learning algorithms, ranging in complexity from linear regression and logistic regression to deep neural networks and ensembles ...

Deep learning is a form of machine learning that can utilize either supervised or unsupervised algorithms, or both. While it’s not necessarily new, deep learning has recently seen a surge in ...

For example, Gartner says, “Deep learning, a variant of machine learning algorithms, uses multiple layers of algorithms to solve problems by extracting knowledge from raw data and transforming ...

A branch of artificial intelligence known as machine learning (ML) uses statistical models and algorithms to let computers “learn” from data and get better over time without needing to be ...

While on-device machine learning has become increasingly common, it’s still far from ideal. This is especially true for complex problems like voice recognition and image classification.

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

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

Other common machine learning regression algorithms (short of neural networks) include Naive Bayes, Decision Tree, K-Nearest Neighbors, LVQ (Learning Vector Quantization), LARS Lasso, Elastic Net ...