In this course, we explore new computational approaches for studying genomic data, including biological sequence data and gene expression ( gene chip ) data. Our focus is on machine learning techniques: probabilistic models such as hidden Markov models, learning algorithms like support vector machines and clustering for classification problems, Bayesian networks for inferring regulatory networks.

SpamSieve is a powerful, popular spam-filtering app that can help you greatly reduce unwanted e-mails in Mail, Entourage, MailForge, Outlook 2011, and other e-mail clients. Because SpamSieve uses Bayesian filtering (a process that looks at the statistical probability of every word in an e-mail) and you train it using your own e-mail, the app actually becomes more effective over time. It learns not just how to better identify ever-changing spam but also how to zero in on the peculiarities of your own legitimate e-mail (whether that's using the names of your family members or your friends' frequent and obscure references to the "Halo" backstory).