Talk comments

Trayan Ivanov at 15:13 on 8 Oct 2016

Damn.. so much info for 40 minutes.. But it was easy to swallow.. Flawless talk!

Plamen Nikolov at 15:11 on 8 Oct 2016

It was an inspiring talk!

Paco Ruina at 14:41 on 8 Oct 2016

A really challenging and practical workshop! Very participative with a lot of group thinking, real code and fresh concepts... Thanks Miro!

Trayan Ivanov at 13:49 on 8 Oct 2016

Nice talk.. Tough first 15 minutes but hey not easy to explain this stuff.. I liked it!

Ivan Tsankov at 13:37 on 8 Oct 2016

Nice and smooth presentation, waiting for the online link to it.

Trayan Ivanov at 12:49 on 8 Oct 2016

Good one for waking up.. Thank god we all didn't "farted around" (:

Trayan Ivanov at 12:48 on 8 Oct 2016

Nice talk.. Continuous integration scares me..

James Mallison at 11:27 on 8 Oct 2016

The talk was a good length and showed different available technologies for machine learning. In fact, I'll refer to the slides (when Mariusz puts them up) for choosing the right technique for a given problem (like classification etc).

I've used machine learning before briefly, through the use of a Naive Bayes classifier. However, I felt that the talk was not at all suited to beginners to machine learning. Terms like "document", "model", "classification" etc would need to be explained and I felt some of the examples were arbitrary, although the salary one was good. If I could give some advice to the speaker for next time, it would be to come up with a use case and a problem right at the beginning, and show through the use of machine learning how it was solved, in-depth, throughout the talk. Like what all these averages etc are when writing the code.

I'm glad I went to this and I'm looking forward to seeing more machine learning talks at PHP conferences.