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 ...

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 ...

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 study found that deep learning models, especially CNNs, were the most frequently implemented technique (61.2%), followed ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

While some AI techniques (such as expert systems) use other approaches, machine learning drives most of the field’s current progress by focusing on one thing: using algorithms to automatically improve ...

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 ...

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 ...

Deep Learning as a Subset: All Deep Learning is Machine Learning, but not all Machine Learning involves Deep Learning. DL models are essentially a complex type of ML algorithms.