Feature Extraction refers to the process of identifying and selecting the most relevant features from raw data to enhance AI model performance. By extracting key information, businesses can improve efficiency, reduce noise, and focus on crucial variables for analysis.
Hyperparameters are parameters that are set before the training of an AI model. They control the behaviour and performance of the model, such as…