Learning from presentation or slides can be a much easier than from papers. I was reminded of that when I ran across Martin Wainwright's excellent class on Graphical Models. It has lecture notes *and* videos online.
Another large repository of machine learning related videos is the repository organized by the Pascal Network. You may run into a couple of bugs, but Sebastjan Mislej (sebastjan dot mislej dot ijs dot si) is very quick at fixing them when you email him.
Does anyone else have a favourite set of Machine Learning slides/notes/videos online?
19 comments:
Andrew Moore has some nice slides online.
Markus
Hi,
There are several ML-videos from the new "curse of dimentionality group" ENS Paris shool.
The problem is that most of those research presentations are in french...
I have several links to good machine learning courses (where you can find notes) on my machine learning links page.
By far, my favorite videos are Michael Jordan's talks on graphical models. They are from the "Graduate Summer School: Intelligent Extraction of Information from Graphs and High Dimensional Data." summer course at UCLA's Institute for Pure & Applied Mathematics.
The link is http://www.oid.ucla.edu/Webcast/ipam/
By the way, Moore's lectures are awesome. I took his Machine Learning course last semester.
Hey, great links, thanks
"Another large repository of machine learning related videos is the repository organized by the Pascal Network. You may run into a couple of bugs, but Sebastjan Mislej (sebastjan dot mislej dot ijs dot si) is very quick at fixing them when you email him."
I am not able to view (or download) these videos.. can anyone help?
There's a collection of videos from the Office of Instructional Development at UCLA on the topic of extraction of information from graphs and high dimensional data. Lecture topics include kernel methods and graphical models.
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We agree with you. Learning from slides is better than learning from papers.
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By far, my favorite videos are Michael Jordan's talks on graphical models. They are from the "Graduate Summer School: Intelligent Extraction of Information from Graphs and High Dimensional Data." summer course at UCLA's Institute for Pure & Applied Mathematics.
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