Not my talks, rather these are ...

Seminars/Reading groups at UW that I like.

• Yahoo Machine Learning Seminars at UW
• CS Theory seminars at UW
• SSLI Seminars
• CSE Colloquium typically Tue/Thur 3:30-4:30.
• Stat Colloquium (typically Mondays, 3:30-5:00)
• For Paul Tseng/Jim Burke/Maryam Fazel's Optimization Seminar, see either here or here or here
• CSSS Colloquium
• CSE AI seminar, CSE 590A AI
• UW DUB seminars (on HCI related things)
• UW Computational biology seminars
• SSLI NLP reading group
• Intel Research Seattle Seminars
• Paul Beame's Theory Talks
• Paul Beame's Theory reading group
• Applied Math department's seminars
• UW Math Seminars (and direct links to the Seminars and Colloquium)
• UW Math combinatorics seminars

Online Academic Seminars/Talks.

You don't need TV any longer as you can keep yourself endlessly entertained with a variety of online academic lectures. You also don't have to feel guilty about missing that great but crowded talk just down the hall from you as you likely can find some version of it here. Below is a list of links (in no particular order) that take you to a wealth of academic lectures available online (mostly) for free!

• Google's tech talks, a wide ranging set of academic talks on all subjects.
• Apple's iTunes U, another large collection of educational material, this time available for free via iTunes, and freely downloadable to certain portable electronic devices.
• Pascal2's videolectures.net , a wide variety of lectures on different topics. Includes quite a few talks from recent past NIPS workshops.
• Academic Earth, a variety of nice online lectures.
• Microsoft Research Videos, another nice set of academic lectures online. You'll need Silverlight to get the best experience (free, and works great on both windows and macos).
• Youtube EDU, also has many good academic lectures available for free, most are from universities, but many NOVAs are also available.
• TechTalks.TV has videos from a number of recent conferences (some related to machine learning, vision, and computer science).
• Khan Academy Videos have a wealth of online tutorial material about many diverse topics including basic math, science, economics, humanities, computer programming, etc.