Machine learning defined Machine learning is a branch of artificial intelligence that includes methods, or algorithms, for automatically creating models from data.

Reinforcement learning is the subset of ML by which an algorithm can be programmed to respond to complex environments for optimal results.

Here is a learning path that you can use as a guide to help you navigate your data literacy journey. The learning paths are organized by the step on the data journey and the level of proficiency.

Experiential learning (EL) is learning by doing. This is an active, hands-on process where learners apply their knowledge and practise their skills, while also engaging in reflection. Reflecting ...

From robot-assisted surgery to personalised disease treatment - technology can do some truly remarkable things. But while the ...

Data architects visualize and design an organization's enterprise data management framework, aligned with enterprise strategy and business architecture.

Data analytics is a discipline focused on extracting insights from data, including the analysis, collection, organization, and storage of data, as well as the tools and techniques to do so.

Learning models are changing throughout higher education, with a wave of remote, hybrid and blended classes sweeping through colleges and universities even as life returns to something more like ...

Some types of predictive analytics software use machine learning to revise algorithms based on learnings from the data collected over time, continuously improving prediction accuracy.