Statistical Aspects of Data Mining: Course offered simultaneously at Stanford and Google taught by David Mease. The main topics are exploring and visualizing data, association analysis, classification and clustering. The course follows the textbox, "Introduction to Data Mining", by Tan, Steinbach and Kumar.

Stanford CS229 Machine Learning Course on Youtube: Very comprehensive and highly mathematical approach to machine learning taught by Andrew Ng at Stanford. You can follow along with the class across 20 video lectures accompanied by the professor's lecture notes. Since you won't be called if you raise your hand at home, we've made a complete forum section just for this course. Ask your questions there and lets discuss about it.

UW Part-time Masters Lectures: An evening class taught by Pedro Domingos at UW for part-time professional students back in 2001. Even thought it's from a long time ago, it's still 10 fantastically practical lectures all 2.5 hours long. It also has accompanying lecture slides.

VideoLectures.net: A collection of over 600 ML-related videos presented by distinguished scholars and scientists at conferences, universities, and workshops. It's arranged into sub-categories ranging from clustering and gaussian processes to kernel methods and statistical learning.

Elements of Statistical Learning: A *FREE* book on PDF with amazing amount of topics and content. The "real" content starts on page 14 out of 764.

MLSS'09 Chicago: Videos recorded from Machine Learning Summer School 2009 in Chicago. It consists of a mixture of tutorial lectures and research talks related to "Theory and Practice of Computational Learning". (courtesy of Brian Donhauser)

GSS2005: Four one-hour lectures taught by Lawrence Saul at the Graduate Summer School in July 2005. The series is titled: Intelligent Extraction of Information from Graphs and High Dimensional Data. (courtesy of Brian Donhauser)

ResearchChannel.org: A series of ongoing research presentations that are televised and archived on this site. Programs on ResearchChannel cover more than just computer science but there are still a good selection of videos on machine learning. Do a site search at the top and you'll find many from the University of Washington and Microsoft Research.

Khan Academy: 800+ videos on YouTube by Sal Khan covering fundamental college-level topics from math and statistics to economics and VCs. Nothing about machine learning but could be a good review if you're rusty. It's also non-profit and for a good cause.