Evolving Spam Filters
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.In this clip
From this podcast
Software Engineering Radio - the podcast for professional software developers
SE-Radio-Episode-286-Katie-Malone-Intro-to-Machine-Learning
Related Questions