Machine Learning for the rescue

Mariusz Gil (24.Jun.2016 at 13:30, 45 min)
Talk at Dutch PHP Conference 2016 (English - US)

Rating: 4 of 5

Machine Learning for the rescue

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Rating: 5 of 5

24.Jun.2016 at 14:27 by Jack Kwakman (1 comments) via Web2 LIVE

Great talk! Can you upload the slides!

Rating: 4 of 5

24.Jun.2016 at 16:42 by Michel Wijngaards (6 comments) via Web2 LIVE

Great talk, but was sometimes a bit hard to follow for me. Of coirse given time constraints a really good effort!

Rating: 4 of 5

24.Jun.2016 at 18:35 by dParadiz (37 comments) via Web2 LIVE

Great talk! I was only missing parts about debugging and evaluation of a machine learning system.

Rating: 4 of 5

24.Jun.2016 at 19:37 by Frits van Campen (30 comments) via Web2 LIVE

I liked all the tools you listed to solve different kinds of machine learning problems. I do feel like there could be a bit more structure to the talk but overall I got something out of it.

Rating: 5 of 5

24.Jun.2016 at 19:42 by Martin V (11 comments) via Web2 LIVE

Very interesting topic, I need to give a try. The only thing I can point is... You should be more relaxed at the beginning of the talk. Overall, well done :)

Rating: 4 of 5

24.Jun.2016 at 23:00 by Ron Rademaker (9 comments) via joind.in Android app

Very interesting topic and a decent build up to many different algorithms and approaches. I think the intro could have been a bit shorter. To the speaker: don't be terrified about a talk ever again, you can do this, you proved that today.

Rating: 4 of 5

25.Jun.2016 at 08:41 by Melvin louwerse (33 comments) via Web2 LIVE

Good talk, only thing i can remark is i had sometimes trouble following you as you went over some stuff rather fast and it took me a minute to catch up.

Rating: 5 of 5

25.Jun.2016 at 08:49 by Anonymous

I have no experience with machine learning, but it doesn't seem to be difficult. At least in implementation layer. Some stabilization for your laser pointer should be needed ;) But I can imagine how difficult speaking to crowded room must be ;)

Rating: 2 of 5

25.Jun.2016 at 10:45 by J.D.Mutsaerts (6 comments) via Web2 LIVE

Contents a little hard to follow due to being incoherent sometimes and English pronunciation wasn't bad, but could use some improvement.

Rating: 5 of 5

25.Jun.2016 at 18:15 by Stephen Young (26 comments)

A very interesting subject. It was fun watching the machine learning techniques deliver unexpected results.

Rating: 5 of 5

26.Jun.2016 at 00:53 by Koen van der Ven (5 comments) via Web2 LIVE

Great talk! Could you post the slides? Thx!

Speaker comment:

26.Jun.2016 at 09:24 by Mariusz Gil (26 comments)

Thanks for your feedback! Talk description has been updated with link to slides.

Rating: 5 of 5

26.Jun.2016 at 10:55 by Sjoerd Maessen (14 comments) via Web2 LIVE

Good talk, it came immediately clear Mariusz really knows what he is talking about. There was absolutely no reason at all to be nervous. What I really liked was to hear how a real-life client problem was solved by applying machine learning.

Rating: 5 of 5

26.Jun.2016 at 11:54 by Jeroen Keppens (57 comments) via Web2 LIVE

Very interesting talk, good examples, some nice humour made the dry/difficult topic pretty easy to digest.

Rating: 4 of 5

26.Jun.2016 at 21:01 by Oli Gustafsson (10 comments) via Web2 LIVE

Good talk, nice introduction to the topic with practical examples, good speaker as well.

Rating: 4 of 5

26.Jun.2016 at 23:38 by Thierry van Ekeren (13 comments) via Web2 LIVE

Great talk, no need to be nervous at all :D

Rating: 5 of 5

27.Jun.2016 at 14:40 by Mairsil (36 comments) via Web2 LIVE

Well-presented and with just enough depth to show where machine learning could be useful, and where the tricky parts are (data prep).

Rating: 3 of 5

27.Jun.2016 at 21:19 by Gerard van Helden (34 comments) via Web2 LIVE

Nice and interesting content, good mix between practical an theoretical. No reason to be nervous next time, you did a good job in my opinion.

Rating: 5 of 5

27.Jun.2016 at 23:33 by David A (13 comments) via Web2 LIVE

Fast into to ML techniques with real live example. I'm not sure, but result from last developer salary case was a little bit unexpected... Small language mistakes have been made, probably you were under stress. And one more thing... O'Rly books slide was perfect ;)

Rating: 4 of 5

29.Jun.2016 at 17:13 by Patrick van der Velden (11 comments) via Web2 LIVE

Great insight into a real world problem and the attempts to solve it.
No need to be so nervous, you know your stuff and you are capable of delivering your talk.

Rating: 4 of 5

23.Jul.2016 at 12:14 by Arnout Boks (48 comments) via Web2 LIVE

Good talk, with nice practical examples. No need to be nervous, because you clearly know your matter well. I think the talk could use a bit more structure though, with some explanation of the common points and differences of the various ML methods presented, and which methods to choose for which problems.

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