etukäsittelijät
Etukäsittelijät, often translated as "forecasters" or "preprocessors," are elements within a digital signal processing chain or a system designed to manipulate data before it undergoes further analysis or processing. Their primary role is to prepare the input data for subsequent stages, ensuring optimal performance, accuracy, or compatibility.
These preparatory steps can encompass a wide range of operations. Common examples include noise reduction techniques
In machine learning contexts, etukäsittelijät are vital for preparing datasets. This can involve handling missing values,
The specific tasks performed by etukäsittelijät depend heavily on the application. In audio processing, they might