The world we live in is one where data is one of the most valuable assets. There are many different pieces of data we can analyse on all kind of data from analytics of user behaviour of your platform, user generated content, monitoring of exception rates, or when your core business model is to provide some kind of analytics platform. This talk will talk about how you can, in your PHP applications, perform utilise machine learning techniques to build models, analyse data to get useful information and spot anomalies.


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Was a really good talk and informative

Dmytro Liashko at 13:24 on 9 Jun 2018

A lot of things were explained in a reasonable time. Nice introductional talk.

Jeffrey at 18:41 on 9 Jun 2018

Michael explained the mathematics very well! It was clear for me how I could use machine learning in an basic way to predict some outcomes. I liked the introduction of the 'learning' part of people. Michael got my full attention the whole 45 minutes. And as usual an great presentation skills. ?

Jochem Fuchs at 09:35 on 11 Jun 2018

Very good talk! One of the top talks I've seen this conference

Onno Marsman at 13:43 on 11 Jun 2018

Talk was ok, but the general theory could have been dealt with far more quickly and I would like to have seen some real world examples because I feel like the two algorithms shown are very difficult to apply to sets with multiple types of data like log files.

Great talk. Both the basics of the mathematical theory and a working PHP implementation explained.