Talk comments

Simon R Jones at 11:07 on 1 Oct 2017

Enjoyable overview of different databases and how well they deal with non-scalar data. Feel a lot more informed about the different options out there now, and the movements MySQL is making into this territory.

Ian Smith at 11:04 on 1 Oct 2017

Great overview of current state of machine learning, a summary of tools Tom used was also very helpful in knowing what to get started with.

Ian Smith at 11:01 on 1 Oct 2017

Brilliant talk, great little demo, very informative, got loads of ideas to try as a chatbot now!

Simon R Jones at 11:01 on 1 Oct 2017

Interesting overview of Fabric. Could have done with a few more fabfile examples earlier on rather than going through all functions available. Covered a few types of deployment which was good. Not sure the bit on moving shell commands into a Yml file made sense - seemed to take the deployment back to being close to shell scripts and made it feel a bit over complicated. But I learnt about Fabric so I can experiment with it now, which is what I wanted to get out of the talk.

Oliver Rose at 10:50 on 1 Oct 2017

A very interesting primer for machine learning, which gave a good example of what you need to do to successfully train your models

Simon R Jones at 10:42 on 1 Oct 2017

Fascinating overview of Machine Learning - and especially how easy it is to start playing with now. Great talk!

Chris Hughes at 09:41 on 1 Oct 2017

Great opening keynote, enjoyable and engaging insight into the clear benefits of PHP 7.x

Charlie Heesom at 08:44 on 1 Oct 2017

A good introduction to doctrine!

Thomas Dutrion at 05:19 on 1 Oct 2017

Really interesting, relatively in depth but easy to understand concepts exposed throughout the talk. It really makes a point, and point out that legacy code will definitely benefit from the coming improvements.

Great content, great execution, all perfect for me!

Jake Wise at 00:04 on 1 Oct 2017

Short, but concise and inspired talk about aspect-oriented programming. Brilliant insights into building scalable, and future-proof application domain boundaries using BEAR.Sunday to generate HATEOAS compliant API's; with realtime synthesised documentation.