Talk comments

Matt Vosloo at 13:19 on 27 Sep 2018

Fun talk and definitely going to try out the PHP-ML

Pieter Gerber at 13:17 on 27 Sep 2018

Very interesting topic and well presented. Well done Michael.

Dylan at 12:58 on 27 Sep 2018

Amazing overview of the state of PHP. I love how it was unique to our location in the world. The volume of numbers in the talk was a little over-whelming but definitely worth going back to and studying closer.

I'm keen to see the future insights that Brad will be able to pull out of this data set!

Dylan at 12:52 on 27 Sep 2018

Super useful intro to Machine Learning in PHP, and ML in general. Michael is a great communicator and clearly very knowledgable on the topic.

Pieter Gerber at 12:36 on 27 Sep 2018

This was quite interesting to see how PHP still ranks against other languages on GitHub. Learning about the Google BigQuery datasets is an added bonus as it provides a valuable learning platform for data analytics etc.

Andre Smith at 11:58 on 27 Sep 2018

Wow! Lots of interesting stats keeping us more informed. Halfway through the talk, Brad did struggle a bit, and said "Errr" quite a lot, but het quickly regained confidence and managed to complete the talk effectively and professionally.

Pieter Gerber at 11:31 on 27 Sep 2018

Interesting discussion and quite helpful with the high level testing concepts. I have to say though that Liam went through the slides a bit too fast and that made it slightly more difficult to follow everything.

Andre Smith at 11:13 on 27 Sep 2018

Talk was interesting, and Liam painted a clear picture to help one understand where to start and end with testing.

Andre Smith at 11:10 on 27 Sep 2018

I have been wanting to venture into the world of machine learning for some time now, but I didn't know where to start. After Michael's talk, I have a better understanding, and am less intimidated by machine learning now, and cannot wait to start experimenting! Great talk!

Pieter Gerber at 10:24 on 27 Sep 2018

I found the talk quite interesting as we are venturing into the Machine Learning/Artificial Intelligence space. Job well done Michael.