Talk comments

Good talk, really helped get a basic understand of what ML is (and isn't) and where to start looking to learn more.

Would have liked to have seen a bit more code and demos of ML working in practice - even if it'd have to be a case of "here's one I trained earlier..."

Great talk! Really liked how accessible and applicable Katy made it. All the code examples and demos were really good.

If possible I would have loved to see some more complex examples (e.g. user responses spread across multiple messages, or even how we might use machine learning / AI to respond to queries that we haven't explicitly anticipated.)

Excited to give it a go myself now!

Daniel Powley at 14:03 on 1 Oct 2017

Very pleased I attended this, I plan to do an exercise with fault tree analysis in the near future. Lots of other good advice provided too.

Daniel Powley at 14:00 on 1 Oct 2017

Very clear and informative intro to the world of micro services. Plenty of practical high level advice. Would be keen to see more talks by Christopher.

Daniel Powley at 13:54 on 1 Oct 2017

Really enjoyed this, hard to imagine a more effective way to learn about Jenkins in such a short time. My favourite session of the conference.

Katy Ereira at 13:31 on 1 Oct 2017

Lovely end to a conference. :)

Katy Ereira at 13:31 on 1 Oct 2017

Sorry that I missed most of the talk except for the discussions at the end, but really enjoyed that discussion nevertheless! My company has mandatory unconscious bias training for all employees - important stuff. :)

Katy Ereira at 13:30 on 1 Oct 2017

Especially enjoyed the free drinks and slideshow karaoke! :D

Katy Ereira at 13:30 on 1 Oct 2017

Ok so I'm a bit of a productivity nerd too, but nevertheless, this provided me with some additional insight and gave me some motivation to continue on this path. Definitely agree that Pomodoro technique does not work too well as a developer - it's annoying to have to drop in and out of intense work every 25 minutes.

Katy Ereira at 13:27 on 1 Oct 2017

Explored lots of different types of data storage for non-scalar data. Very informative, but as people have said, it would be nice to hear more opinions on which is best when and why.