Machine Learning, Probability and Graphical Models

author: Sam Roweis
published: Feb. 25, 2007,   recorded: July 2006,   views: 254559


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Part 1 1:02:45
Watch Part 2
Part 2 1:17:23
Watch Part 3
Part 3 1:18:52
Watch Part 4
Part 4 1:20:19

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Download slides icon Download slides: mlss06tw_roweis_mlpgm_01.pdf (155.2 KB)

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Reviews and comments:

Comment1 Pramod, March 31, 2007 at 8:42 a.m.:


Comment2 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...

Comment3 Danny, April 5, 2007 at 4:25 p.m.:

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

Comment4 Sped, April 14, 2007 at 6:46 p.m.:

Nothing happens when I click on the thumbnails. :(

Comment5 Mikel, April 15, 2007 at 5:14 a.m.:

No sound with WMP 11

Comment6 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://

I hope this helps.

Comment7 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 than that may be it.

Please check the following web pages for a solution

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).

Comment8 Mark, June 14, 2007 at 7:09 p.m.:

There's also a version of this video with synchronized slides at:

Comment9 Vinay, September 27, 2007 at 9:39 p.m.:

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

Comment10 John, November 30, 2007 at 5:37 a.m.:

He's cute! Haha

Comment11 Sreevidhya, December 18, 2007 at 8:11 p.m.:

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

Comment12 Ashish, February 15, 2008 at 4:48 a.m.:

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

Comment13 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


Comment14 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!

Comment15 Vamshi, September 14, 2008 at 5:10 p.m.:

masterly eloquence

Comment16, October 11, 2008 at 7:43 p.m.:

Thank you for your contribution.

FWIW - I found this excellent lecture series from this blog:, 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!

Comment17 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.

Comment18 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.

Comment19 Vaibhav, March 19, 2009 at 9:58 p.m.:

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 ?


Comment20 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.

Comment21 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.

Comment22 Sam, December 13, 2009 at 11:58 a.m.:

Nice introduction to Machine Learning!

Comment23 henry, February 23, 2010 at 4:40 a.m.:

nice lecture...
R.I.P, Dr. Roweis...

Comment24 Ray, February 24, 2010 at 10:37 a.m.:

Excellent lectures.
R.I.P Pr. Roweis and thank you sooo much !

Comment25 Max, February 24, 2010 at 11 p.m.:

Dr. Roweis will be greatly missed. :(((

Comment26 Weiwei, April 27, 2010 at 9:20 p.m.:

This video lecture always reminds me how great Dr. Sam Roweis is at teaching and explaining ideas.

RIP, Sam.

Comment27 kylie, August 20, 2010 at 7:38 p.m.:

why i cant see any of the videos. somebody help.

Comment28 william, November 6, 2010 at 9:04 p.m.:

Is this the first in a series of only three lectures or is there a season of these lectures which forms a course of statistics and computing?

Comment29 it support new york, February 17, 2011 at 3:28 p.m.:

He has the gift of speaking. Most people can speak but few are listened. His one of those people who give speech and listeners are also involve and carried away by them.

Comment30 Jeremy Leipzig, August 22, 2011 at 9 p.m.:

I can't believe we lost this guy to the pressures of work and family. As a society we let him down.

Comment31 human mathematics, January 13, 2012 at 3:57 a.m.:

If you're using Mac or Linux (e.g. Ubuntu) this should run fine as

mplayer -framedrop mms://

Hope this helps.

Comment32 Paul Walsh, August 6, 2012 at 10:11 a.m.:

What a wonderful teacher and scholar. He was so generousness with his time and energy. I am shocked and sad to learn of his passing. May he rest in peace.

Comment33 Al, December 21, 2012 at 10:49 p.m.:

Thank you, Sam, for your inspiring lectures.

Comment34 muchtajidun, August 24, 2013 at 5:59 p.m.:

what a lost !!
what a great communicator!

My condolences to friends and family

Comment35 Bharath Bhushan, October 10, 2013 at 7:46 a.m.:

Very good lecture.. The presentation style is very good...

Comment36 Joe Bradshaw, November 19, 2019 at 3:01 p.m.:

Machine learning, a branch of artificial intelligence, is about the construction and study of systems that can learn from data.

Comment37 Paul, December 26, 2019 at 12:07 p.m.:

Graph neural networks (GNNs) are connectionist models that capture the dependence of graphs via message passing between the nodes of graphs. <a href=""></a>

Comment38 Wayne Dietz, January 2, 2020 at 12:48 p.m.:

Machine learnig is the first procedure and the structured probabilistic model is a probabilistic model for which a graph expresses the conditional dependence structure between random variables.

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Comment41 Martin, July 16, 2020 at 2:03 p.m.:

I was really interested in machine learning as I'm studying at university on tech faculty. Planning to become an programming engineer. There is more info here

Comment42 Rick Degen, September 17, 2020 at 12:55 a.m.:

Hey, dear cant watch your video which is about Machine Learning, Probability, and Graphical Models, and that is shared by you. I am going to start working for but soon free from it and come back here.

Comment43 Miki Orth, January 22, 2021 at 7:53 a.m.:

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