1 ben, May 14, 2007 at 1:07 p.m.:

I like it.

2 Thorsten Pfister, May 15, 2007 at 12:27 a.m.:

Excellent explanation of concepts and issues. Thank you!

3 peerasak, July 16, 2007 at 5:59 a.m.:

It is a very nice lecture.

4 Giorgio, September 25, 2007 at 9:35 p.m.:

Bizarre typo up there... If they are NOT important, why teach them? :)

"Support vector machines (SVM) and kernel methods are not important machine learning techniques"

5 peter (staff), November 27, 2007 at 6:55 p.m.:

Giorgio... Thanks, I've fixed the typo.

6 roywwcheng, November 28, 2007 at 6:09 p.m.:

As one core developer of LIBSVM, Lin has introduced full and accurate practical issues of SVM in this talk.

Thanks a lot.

7 yong kassian, January 20, 2008 at 8:19 a.m.:

As a core Machine learning tool Lin has introduce a full and practical lectures in his talk on the SVM . I like it
Thanks

8 sss, April 7, 2008 at 3:21 a.m.:

nice talk,
it is really good

9 tucooooo, June 19, 2008 at 8:22 p.m.:

really great ! it s always better to ear explanations than reading a short paper...
Thank you.

10 mrg, June 27, 2008 at 11:44 a.m.:

Very hard to understand, not very structured and poor articulation... The lecture of Colin Campbell on SVM is way better!

Still, thanks for having these videos available!

11 eleph, October 7, 2008 at 12:30 p.m.:

it is very good.I need this right now.typical Chinese accent.
thanks a lot!!!

12 Phil, December 30, 2008 at 4:18 a.m.:

How can I download the file?
I want to get just the audio.

13 Rohan, February 1, 2009 at 9:26 a.m.:

amazing lecture,
he has introduced svm's in an awesome manner , also he has pointed out areas of further research and also on how to practically train a svm classifier.

Thank you!!

14 Ayman, May 20, 2009 at 5:20 p.m.:

Hello,

I want to download the lecture (Video+audio), How?

Thank you,

15 raja, September 25, 2009 at 10:04 a.m.:

how can i download your lecture, is it possible?

16 karim, September 29, 2009 at 6:32 a.m.:

Hello
I can not watch this video if you like it helps me and send me this video i need him soo much gasmikarim@yahoo.fr

17 hb, November 8, 2009 at 1:35 a.m.:

the best explaination on SVM so far.
excellent!
all the books and papers seem so poorly written compared to this lecture :-)

18 arezoo, March 14, 2010 at 8:59 p.m.:

hi.i want to know about svm and rbf algorithm.is it ok to send me some pdf about them.
thanks.

19 Tergino, April 23, 2010 at 9:07 p.m.:

This lecture was so helpful, I really love this website and think that it is an excellent learning tool

20 Truong Xuan Tung, September 10, 2010 at 2:01 p.m.:

this is nice lecture.
thank you so much.

21 Patrick St, October 12, 2010 at 1:18 a.m.:

Nice lecture and easy to understand...

22 Krishna Chaitanya, December 15, 2010 at 12:04 p.m.:

Very nice lecture, initially i overlooked this video after just checking the pronunciation...but best so far.

23 unknown, April 1, 2011 at 4:20 p.m.:

please tell me how can i download the videos?
thank you

24 luyendt, July 23, 2011 at 5:24 a.m.:

I like it.
However my English is not good, so i can't listen to this video in some word. :(
Anyway, thank you so much!

25 luyendt, July 23, 2011 at 5:24 a.m.:

I like it.
However my English is not good, so i can't listen to this video in some word. :(
Anyway, thank you so much!

26 Sivagaminathan, November 5, 2011 at 3:41 p.m.:

Excellent Lecture.....
A new concept widely used nowadays in machine learning.
It is obviously used for classification and ranking.

Wonderful presentation!
Thanks a lot!

Sivagaminathan

27 Sivagaminathan, November 5, 2011 at 3:47 p.m.:

Please give me softcopy of power point files,
i need videlectures of SVM...

I have to use this SVM model for clustering and ranking
in my IR research task..

Iam requesting author to extend your help!!!

Thanks and Regards,
sivagaminathan

28 chairly, December 8, 2011 at 2:38 p.m.:

It is a very nice lecture. Thank you very much.

29 AFei, December 24, 2011 at 3:11 p.m.:

The video is good. But I really need to download it the live stream is too slow, I can't finish it smoothly.

30 Yu Zheng, May 12, 2012 at 5:08 p.m.:

Excellent!! very useful information for practical application of SVM.

31 Tarik Rashid, January 28, 2013 at 9:25 p.m.:

Could you please send me the video?
Thanks and regards

32 teerachat saeheng, May 27, 2014 at 3:48 a.m.:

thanks , this video is so nice but the third part is invalid now.

33 denis, August 8, 2018 at 6:44 a.m.:

In SVM model is a representation of the examples as points in space, mapped so that the examples of the separate categories are divided by a clear gap that is as wide as possible. New examples are then mapped into that same space and predicted to belong to a category based on which side of the gap they fall. https://chasebanklogin.us

34 bokilo, June 20, 2022 at 6:29 a.m.:

This is so amazing, great minds think alike I just wrote a similar post on this topic! You should check it out. https://drivingdirectionsroute.com