Machine Learning Summer School 2006 - Taipei

Machine Learning, Probability and Graphical Models

author: Sam Roweis

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Part 1 1:02:45 !NOW PLAYING	Part 2 1:17:23	Part 3 1:18:52
Part 4 1:20:19

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Reviews and comments:

1 Pramod, March 31, 2007 at 8:42 a.m.:

Good

2 James, March 31, 2007 at 5:32 p.m.:

This guy is good. I have forgotten my math but I still could follow his speech. I got it even if I didn't understood the mathematical notation...

3 Danny, April 5, 2007 at 4:25 p.m.:

Why is there no sound when I play this usind Window Media player 11?

4 Sped, April 14, 2007 at 6:46 p.m.:

Nothing happens when I click on the thumbnails. :(

5 Mikel, April 15, 2007 at 5:14 a.m.:

No sound with WMP 11

6 Mikel, April 15, 2007 at 7:44 a.m.:

For those having trouble with WMP, try opening the video via Winamp or some other program such as VLC. Choose open URL and then put: mms://velblod2.ijs.si/pascal/2006/mlss06_taipei/roweis_sam/roweis_sam_00.wmv

I hope this helps.

7 Peter Kese (staff), April 15, 2007 at 1:10 p.m.:

Regarding the sound issues...

We have found out that a possible cause could be the Windows Media Player 11 issues with videos with Mono sound. If you are experiencing the same problems while playing videos on http://www.cnn.com/ than that may be it.

Please check the following web pages for a solution
http://forums.techguy.org/multimedia/...
http://www.microsoft.com/communities/...
http://zachd.com/pss/pss.html#audio

If you find a solution, please let is know so we can share it with others or fix something on the VideoLectues site (if applicable).

8 Mark, June 14, 2007 at 7:09 p.m.:

There's also a version of this video with synchronized slides at:
http://videolectures.net/mlss06tw_row...

9 Vinay, September 27, 2007 at 9:39 p.m.:

I'm a fan of Mr. Roweis :)
Another very well presented lecture by him.

10 John, November 30, 2007 at 5:37 a.m.:

He's cute! Haha

11 Sreevidhya, December 18, 2007 at 8:11 p.m.:

Perfectly and efficiently taken......Hats off....!!

12 Ashish, February 15, 2008 at 4:48 a.m.:

Sam has done amazingly good job at explaining topic in a very simple manner!

13 jbgao, April 14, 2008 at 9:07 a.m.:

Can any one tell me what is the best way to download the wmv file so that I don't need to be online every time when I want to watch it?

it seems to me the link simply invokes media player to play without a way to save the file.

Many thanks

Jbgao

14 Benny, September 14, 2008 at 4:56 a.m.:

jbgao: Install the latest real player and you will be able to download these videos by right cliking on them.

Hope this helps!

15 Vamshi, September 14, 2008 at 5:10 p.m.:

masterly eloquence

16 arachnode.net, October 11, 2008 at 7:43 p.m.:

Thank you for your contribution.

FWIW - I found this excellent lecture series from this blog: http://kmandcomputing.blogspot.com/, which features easy-to-understand examples of how to use RapidMiner, one of the best, or dare I say 'the best', free machine learning Swiss Army Knife applications.

Many, if not all of the models discussed in the video lectures are available in RapidMiner.

Thanks again!

17 Phil, December 30, 2008 at 4 a.m.:

How can I download the file?
I want to rip the audio off it, so I can listen to it in the car.

18 Ralf, January 29, 2009 at 8:27 a.m.:

Very helpful video.
I've been trying to get into this lately, but my starting point were usually some too advanced papers/videos, where I was lacking some basic knowledge and sometimes vocabulary to understand the motivation behind this or that etc.
Things just started to become much clearer to me and it gave me new ideas about how to proceed.

19 Vaibhav, March 19, 2009 at 9:58 p.m.:

Hi,
I anot able to download this video. If it's free, it should be downloadable, right ? My net connection is a little slow and I cant afford to watch this stuff often. Is there a way to download it ?

Thanx.

20 John, May 8, 2009 at 7:43 p.m.:

I wonder what's going on with the little discontinuity in the video around 16 minutes in.

21 Cauchy, July 28, 2009 at 1:03 p.m.:

It seems that part3 & part4 do not uploaded well. Could anybody help to fix it? Thx.

22 Sam, December 13, 2009 at 11:58 a.m.:

Nice introduction to Machine Learning!

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*Slides*
0:00	Probabilistic Graphical Models
3:19	Building Intelligent Computers
5:52	Uncertainty and Artificial Intelligence (UAI)
7:07	Applications of Probabilistic Learning
8:40	Canonical Tasks
12:13	Representation
14:39	Using random variables to represent the world
16:41	Structure of Learning Machines
19:45	Loss Functions for Tuning Parameters
25:19	Training vs. Testing
26:54	Sampling Assumption
28:01	Generalization and Overfitting
30:25	Capacity: Complexity of Hypothesis Space
34:52	Inductive Bias
37:22	Probabilistic Approach
39:01	Joint Probabilities
42:12	Conditional Independence
44:11	Probabilistic Graphical Models
46:01	Directed Graphical Models
47:02	Example DAG
48:45	Conditional Independence and Missing Edges in DAGs
49:23	Example DAG
49:30	Conditional Independence and Missing Edges in DAGs
50:18	Explaining Away
53:21	What's Inside the Nodes/Cliques?
54:18	Example DAG
54:52	Probability Tables & CPTs
55:34	Exponential Family
56:04	Nodes with Parents
57:44	Review: Goal of Graphical Models
60:12	Learning Graphical Models from Data
61:56	Basic Statistical Problems