A data structure is a way of organizing and storing data in a computer so that it can be accessed and modified efficiently. Examples of common data structures include arrays, linked lists, stacks, queues, trees, and graphs. Each data structure has its own set of characteristics and trade-offs, and the choice of which data structure to use for a given task will depend on the specific requirements of the problem. Data structure plays a vital role in computer science and software development, and they are used in many algorithms to solve computational problems.
AI (Artificial Intelligence) and ML (Machine Learning)
AI refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. AI systems can be designed to perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation.
Qualitative Data
Qualitative data is non-numerical information that describes characteristics or attributes. It is often collected through methods such as interviews, observations, and open-ended surveys, and is used to understand the underlying reasons, opinions, and motivations behind a particular phenomenon. The data is usually in the form of words, images, or videos. The analysis of qualitative data is often focused on identifying themes and patterns, rather than quantifying results.