We've all heard the hype. Machine Learning is cool! Machine Learning is Rad! It'll change the world! End Poverty! Get George R R Martin to finally finish Game of Thrones! What actually is it though?

Talk Machine Learning to a lot of people and they'll probably get muddled up with AI in old SF films, and think of HAL 9000 or Holly in Red Dwarf. That - or there'll be a general sense that it's some sort of black magic - archaic and unknowable.

The truth is that Machine Learning isn't really complicated at all. A few lines of code will implement a lot of the techniques without much effort.

During this talk, I'll be demonstrating a few of the simpler ML algorithms in a code-neutral, easy to follow manner. No need to learn Python, or add any new libraries or frameworks to your existing Codebase. I'll be working from first principles, and keeping it as simple as I can.

We'll cover algorithms like:

* Naive Bayes
* Bayes Classifiers
* N-Nearest Neighbour
* Decision Trees
* Linear Regression

We'll only be covering the absolute basics of Machine Learning - maybe just enough to be dangerous! Enough also, to go away and continue your journey having taken a good first step.