Anything from which data items are stored and retrieved could be considered a data structure. Examples include the data structures derived from the previously mentioned Employee, Vehicle, Array ...

For example, if a program is using a data structure such as a list, but this data structure only allows new items to be added at one end, the resulting store will comprise data that is not ordered.

Learn when and how to use different data structures and their algorithms in your own code. This is harder as a student, as the problem assignments you'll work through just won't impart this knowledge.

Structured data is relevant to just about every algorithm update in the past five years. Learn how structured data markup can future-proof your SEO.

For example, if you want to automatically detect atrial fibrillation, a common type of irregular heart rhythm, you need to tell the machine-learning algorithm what atrial fibrillation looks like.

Study: A critical assessment of using ChatGPT for extracting structured data from clinical notes. Image Credit: TippaPatt / Shutterstock.com. AI in medicine. Large-language-based models (LLMs ...