Machine Learning - Support Vector Machines

Sjoerd Maessen (25.Jun.2016 at 10:45, 45 min)
Talk at Dutch PHP Conference 2016 (English - US)

Rating: 4 of 5

Machine Learning - Support Vector Machines

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Rating: 5 of 5

25.Jun.2016 at 11:49 by Scato Eggen (24 comments) via Web2 LIVE

Entertaining talk. Great examples. Very good explanation of the underlying theory, and even some very good advice.

Rating: 5 of 5

25.Jun.2016 at 14:45 by Koen van der Ven (5 comments) via Web2 LIVE

Thanks Sjoerd, great talk!

Rating: 4 of 5

25.Jun.2016 at 18:33 by Ron Rademaker (9 comments) via joind.in Android app

Very interested talk with good examples. The only thing I missed was the answer to why, for your example problems, a support vector machine is the best / a good approach in favor of other ml algorithms.

Rating: 5 of 5

25.Jun.2016 at 20:46 by Donatas Aleksandravičius (16 comments) via Web2 LIVE

Very live talk, kept attention for the whole time, interesting concept and examples.

Rating: 5 of 5

26.Jun.2016 at 09:05 by dParadiz (37 comments) via Web2 LIVE

Great talk with interesting examples.

Rating: 4 of 5

26.Jun.2016 at 10:17 by Ronald D. (31 comments) via Web2 LIVE

Good talk!

Rating: 5 of 5

26.Jun.2016 at 11:17 by Mariusz Gil (26 comments) via Web2 LIVE

Interesting talk Sjoerd, well done :) Basic ML concepts were explained from the ground, examples were really, really good. My only proposition is about changing Alice in Wonderland case to live-demo. It would be really great to see how data could be classified by PHP in realtime :)

Thanks for your talk!

Oh, one more thing... I need to add one slide to my presentation, which will be inspired by you talk :)

Rating: 5 of 5

26.Jun.2016 at 23:50 by Thierry van Ekeren (13 comments) via Web2 LIVE

Liked this talk very much, good sense of humour

Rating: 4 of 5

27.Jun.2016 at 11:18 by Dennis Luitwieler (41 comments) via Web2 LIVE

Awesome talk, simple explanation of a complex subject.
More depth would've been nice but there was not enough time for that I think.

Rating: 2 of 5

27.Jun.2016 at 11:47 by Tom den Braber (16 comments) via Web2 LIVE

Some things that could be improved: explain the theory (as it states in the abstract); the current talk was more like "we have an SVM implementation, I put things in it, I get things out of it, I did machine learning". From the talk, it was not clear how SVM's even worked/how you could implement them, which was exactly what I was expecting after reading the abstract. It was clear, however, how you could use them.
The speaker seemed to simplify the process too much or did not have a deep understanding of the subject matter himself.

Rating: 5 of 5

27.Jun.2016 at 13:14 by Jasper Wissels (2 comments) via Web2 LIVE

Really enjoyable talk, you are very capable of transferring your own enthousiasm on the subject.

Rating: 3 of 5

27.Jun.2016 at 14:42 by Mairsil (36 comments) via Web2 LIVE

The presentation was done well, but the talk lacked some depth to me. Mariusz Gil's talk on friday went a bit more clearly into the mechanics of the data prep and use of the learning machines.

Rating: 5 of 5

27.Jun.2016 at 16:54 by Jasper van der Hoeven (4 comments) via Web2 LIVE

Very well done. I liked the way Sjoerd explained a very complex subject in a way that everyone could understand.

Rating: 5 of 5

27.Jun.2016 at 21:46 by Jorn Oomen (4 comments) via Web2 LIVE

Interesting topic presented well!

Rating: 5 of 5

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

Very interesting and entertaining talk. Maybe OCR example should be a little bit shorter, but my overall impression is ok. Both ML talk on DPC were very useful, need to dig more into it.

Rating: 2 of 5

29.Jun.2016 at 14:29 by Peter van Dommelen (4 comments) via Web2 LIVE

Enthusiastic speaker. Great and detailed examples on the problems you attempted to solve.

I would have expected to see some more insight into the fundamental statistics involved. Some significant choices the speaker made in the data-prep phase can be controversial if done without any explanation, and an audience question afterwards reflected that.

Rating: 4 of 5

30.Jun.2016 at 09:50 by Patrick van der Velden (11 comments) via Web2 LIVE

Entertaining talk in how to achieve the 'next level' in machine learning with SVM and how heavily your solution depends on the preparation of your dataset.

Rating: 5 of 5

09.Jul.2016 at 15:57 by Tom Lether (10 comments) via Web2 LIVE

Well built presentation, interesting subject and an interesting approach to the subject. The examples were well thought out and emphasised the basics greatly.

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