Fighting Spam with math and F#

Spam sucks. A great way of dealing with spam is using Bayes' Theorem, a well known formula first derived in the 1700s. Armed with Bayes theorem and F#, we'll create a classifier that will automatically label messages as spam or ham. Using F#'s functional approach we'll start with a very simple solution that filters out most spam and then look at ways of improving our accuracy. Expect a mix of machine learning, functional programming and live coding as we build the spam filter live.

Brice 's bio

Brice Fernandes (@fractallambda (https://twitter.com/fractallambda)) is an experienced on-line teacher and tutor who co-created the epic Complete Unity Developer course, which quickly became Udemy's most successful game development course. Brice now organises the Cambridge Programmer's Study Group meeting other developers twice a week to study computer science. When he's not programming, you can also find Brice helping start-up teams go further and faster at the University of Cambridge Judge Business School's own start-up accelerator Accelerate Cambridge, where he is a coach and mentor.

Brice is currently focused on creating online courses to teach F# from the fundamentals through to advanced features by building fun engaging projects. You can find more information on courses, articles and more at www.fsharp.tv.