Machine learning and trend analysis in PHP

Michael Cullum (09.Jun.2018 at 09:45, 45 min)
Talk at Dutch PHP Conference 2018 (English - US)

Rating: 5 of 5

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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Comments

Rating: 5 of 5

09.Jun.2018 at 12:08 by Wouter Kamphuis (7 comments) via Web2 LIVE

Was a really good talk and informative

Rating: 5 of 5

09.Jun.2018 at 13:24 by Dmytro Liashko (5 comments) via Web2 LIVE

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

Rating: 5 of 5

09.Jun.2018 at 18:41 by Jeffrey (43 comments) via Web2 LIVE

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. ?

Rating: 5 of 5

11.Jun.2018 at 09:35 by Jochem Fuchs (58 comments) via Web2 LIVE

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

Rating: 3 of 5

11.Jun.2018 at 13:43 by Onno Marsman (78 comments) via Web2 LIVE

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.

Rating: 5 of 5

11.Jun.2018 at 16:10 by Stephan Vierkant (8 comments) via Web2 LIVE

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

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