Dataoppiminen
Dataoppiminen, often translated as data learning or data acquisition, refers to the process of gathering, cleaning, and preparing data for analysis or use in machine learning models. It is a crucial first step in any data-driven project, as the quality and relevance of the data directly impact the outcomes. This process typically involves several stages.
The first stage is data collection, where data is sourced from various origins such as databases, sensors,