LFD Book Forum  

Go Back   LFD Book Forum > Course Discussions > Online LFD course > General comments on the course

Reply
 
Thread Tools Display Modes
  #1  
Old 08-25-2012, 12:42 PM
samirbajaj samirbajaj is offline
Member
 
Join Date: Jul 2012
Location: Silicon Valley
Posts: 48
Default Masterfully done

I've enjoyed every lecture in the course so far, but I have to say that the one on kernel methods is very well done. I've tried to read about kernel methods on my own, but lacking the math sophistication, I've never really understood how they worked. I think I do now.

Please consider making more of your courses available to the world. You have a valuable gift.

Thanks.

-Samir
Reply With Quote
  #2  
Old 08-25-2012, 12:53 PM
yaser's Avatar
yaser yaser is offline
Caltech
 
Join Date: Aug 2009
Location: Pasadena, California, USA
Posts: 1,477
Default Re: Masterfully done

Quote:
Originally Posted by samirbajaj View Post
I've enjoyed every lecture in the course so far, but I have to say that the one on kernel methods is very well done. I've tried to read about kernel methods on my own, but lacking the math sophistication, I've never really understood how they worked. I think I do now.

Please consider making more of your courses available to the world. You have a valuable gift.

Thanks.

-Samir
Thank you for your kind words.
__________________
Where everyone thinks alike, no one thinks very much
Reply With Quote
  #3  
Old 09-04-2012, 12:58 PM
gah44 gah44 is offline
Invited Guest
 
Join Date: Jul 2012
Location: Seattle, WA
Posts: 153
Default Re: Masterfully done

Thanks for everything!

Having graduated about 30 years ago, not counting graduate school,
it was interesting to have a homework deadline after so many years.

You could have done it without any deadlines, but it wouldn't feel
like a real course!

And thanks to Caltech for supporting it.
(And YouTube for hosting the lectures.)
Reply With Quote
  #4  
Old 09-05-2012, 08:24 PM
luis_lfd luis_lfd is offline
Junior Member
 
Join Date: Jun 2012
Posts: 5
Default Re: Masterfully done

The same here. I really enjoyed this course and professor Yaser's lectures are fantastic.

Hope to see more on-line classes delivered by such great teachers.
Reply With Quote
  #5  
Old 09-06-2012, 01:31 AM
gah44 gah44 is offline
Invited Guest
 
Join Date: Jul 2012
Location: Seattle, WA
Posts: 153
Default Re: Masterfully done

I was just wondering, though, does the real Caltech course have an
unlimited (well, two weeks) time open book final?

I would have expected a three hour, closed book (honor system)
take home final.

Not that I am complaining, but just wondering.
Reply With Quote
  #6  
Old 09-06-2012, 09:40 AM
yaser's Avatar
yaser yaser is offline
Caltech
 
Join Date: Aug 2009
Location: Pasadena, California, USA
Posts: 1,477
Default Re: Masterfully done

Quote:
Originally Posted by gah44 View Post
I was just wondering, though, does the real Caltech course have an
unlimited (well, two weeks) time open book final?

I would have expected a three hour, closed book (honor system)
take home final.

Not that I am complaining, but just wondering.
There is no final given at Caltech for this course. Just open-book homeworks from which the multiple choice version was derived whenever possible.
__________________
Where everyone thinks alike, no one thinks very much
Reply With Quote
  #7  
Old 09-08-2012, 06:36 AM
itooam itooam is offline
Senior Member
 
Join Date: Jul 2012
Posts: 100
Default Re: Masterfully done

Just wanted to echo the sentiment expressed above. I have found the course extremely useful/helpful and would certainly recommend it to others.

The things I would suggest as a pre-requisite to others considering this course would be a basic understanding of linear algebra and a tool for easy implementation I.e., Octave.
I believe this would make the course accessible to many more people. Had I not done a crash course in the above beforehand I would have given up after perhaps the first lecture. So glad I persisted... esp when the going got tough. So very rewarding. The course got better as time progressed.

I would like to thanks all those involved with making this course free and especially the time the lecturers set aside in answering our
questions on the forums. Direct help/feedback is invaluable.

Many many thanks
Reply With Quote
  #8  
Old 09-09-2012, 03:23 PM
Willem Willem is offline
Member
 
Join Date: Jun 2012
Posts: 22
Default Re: Masterfully done

Thank you professor Abu_Mostafa for a very stimulating course! The lectures were among the best I ever had, thank you for this! I also want to mention the well thought out homeworks, which indeed made us roll up our sleeves! Thank you again, I can only agree with the OP that I hope in the future there will be another course
Reply With Quote
  #9  
Old 09-10-2012, 04:40 PM
jiunjiunma@gmail.com jiunjiunma@gmail.com is offline
Junior Member
 
Join Date: Jul 2012
Posts: 8
Default Re: Masterfully done

I concur. The homework is really well thought out and reinforces the learning (no pun intended). I especially like that it doesn't dictate the use of any specific language so you can pick your own tool.

Thank you so much Professor Abu-Mostafa. This is the best online machine learning class and you really give us a map (with tons of insights) to explore further. I will certainly miss the weekly "welcome back"...
Reply With Quote
  #10  
Old 09-10-2012, 09:31 PM
yaser's Avatar
yaser yaser is offline
Caltech
 
Join Date: Aug 2009
Location: Pasadena, California, USA
Posts: 1,477
Default Re: Masterfully done

You guys are very kind. I appreciate it.
__________________
Where everyone thinks alike, no one thinks very much
Reply With Quote
Reply

Thread Tools
Display Modes

Posting Rules
You may not post new threads
You may not post replies
You may not post attachments
You may not edit your posts

BB code is On
Smilies are On
[IMG] code is On
HTML code is Off

Forum Jump


All times are GMT -7. The time now is 06:48 AM.


Powered by vBulletin® Version 3.8.3
Copyright ©2000 - 2019, Jelsoft Enterprises Ltd.
The contents of this forum are to be used ONLY by readers of the Learning From Data book by Yaser S. Abu-Mostafa, Malik Magdon-Ismail, and Hsuan-Tien Lin, and participants in the Learning From Data MOOC by Yaser S. Abu-Mostafa. No part of these contents is to be communicated or made accessible to ANY other person or entity.