Spam Filtering with Naive Bayes

Today's spam filters are advanced data driven tools. They rely on a variety of techniques to effectively and often seamlessly filter out junk email from good email. Whitelists, blacklists, traffic analysis, network analysis, and a variety of other tools are probably employed by most major players in this area.

Guest

Kyle Polich: Kyle is the founder of Data Skeptic, a popular podcast about artificial intelligence, machine learning, and data science. Outside of hosting the show, he runs a boutique consulting group that helps small and medium enterprise companies deploy data driven automated solutions in the cloud.