Spam detection relies heavily on machine learning to identify patterns and characteristics of unwanted emails. As spammers become more sophisticated, it’s crucial to continuously retrain algorithms to adapt to new tactics, ensuring effective filtering. Key factors include the use of specific words and domain analysis, which help the system learn and evolve over time.
