Presented at the ScotlandPHP conference 2017 held in Edinburgh.
Machines are learning at an incredible rate and the pace is only accelerating. It used to be the case that ML/AI were the realm of data scientists in their own little ivory tower with their own language, processes and more. But we no longer have that luxury as ML is permeating every aspect of software. In some cases this is obvious as ML is the primary function of the application such as Credit Scoring but less obvious in the case of things like using ML to back spell check and grammar in word processing. In this dive into machine learning, we will distill the language, process, capabilities and techniques of machine learning so that you can understand and communicate with data scientists.