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.

Image processing is used in a variety of use cases today, including visualisation, pattern recognition, segmentation, image information extraction, classification, and many others. Image processing ...

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 ...

Training robots using machine learning The foundational concept involves integrating machine learning algorithms into robotic systems to enable them to adapt to varying educational needs and contexts.

Artificial intelligence (AI) and machine learning (ML) are transforming our world. When it comes to these concepts there are important differences between supervised and unsupervised learning ...

Generative AI ventures well beyond traditional machine learning. By using multiple forms of machine learning systems, models, algorithms, and neural networks, generative AI offers a new foray into ...