koller

His suggestion that he and Koller co-teach the course is a cop-out.

Daphne Koller must be happy today, this is a huge validation for Coursera business model.

Here are the ones that I found most useful, by Andrew Ng [1] and Daphne Koller [2] on Coursera.

The slides are a great condensed version of koller's book on PGMs.

Women like Yahho CEO Marissa Mayer or researcher/Coursera founder Daphne Koller are much more respected than an average programer guy maybe at a mediocre company.

> Daphne Koller must be happy today, this is a huge validation for Coursera business model.

I had one class that covered an overview of lots of the technology, and was lucky enough to have access to preprints of Koller & Friedman's book as a reference to fill in any gaps.

But candidates probably include Breiman/Cutler for Random Forests, Dean/Ghemawat for MapReduce, Peter Shor for Shor's algorithm, Daphne Koller for machine learning, Jon Kleinberg for network algorithms, Luis von Ahn for human computation.

For more depth on graphical models look at "Probabilistic Graphical Models: Principles and Techniques" by Koller.

Koller's class is difficult, but it's a graduate-level CS class A graduate level class is not a guilt-free pass to make it "difficult".

"Coursera was founded by programmers and is dominated by programmers." I doubt Daphne Koller or Andrew Ng were (production) programmers.

She's not among the people who Daphne Koller said "never really intended to seriously take the class in the first place" - she bought the suggested books ahead of time, marked it all down on her calendar, and planned out time to work on it.

Daphne Koller, Nir Friedman, and Michael Jordan are the biggest names that come to mind not already mentioned.

Koller's class is difficult, but it's a graduate-level CS class with almost all the same material as the class at Stanford.

However, many of my peers had bad reviews on Daphne Koller's Probabilistic Graphical Models class.