Outrageously Funny Search Suggestion Engine :: Prehostile

👉 In computer science, a prehostile is a type of machine learning algorithm that employs a strategy to prevent adversarial attacks in training. It is often used as a post-processing technique after training to correct errors or biases present during the model's initial stages of learning. A prehostile algorithm typically involves three key components: 1.

Pre-Processing

: This step includes preprocessing the data, such as normalization or feature selection. 2.

Training

: The algorithm then uses this preprocessed data to

prehostile