After reading through quite a bit of info on Google algos and engineers from various sources this name came up "Daphne Koller". She is a well known for her work in AI (artificial intelligence). A quote from her site: Apparently she is responsible for training several Google engineers. Here is her bio page http://ai.stanford.edu/~koller/bio.html. A few cool things she teaches: Bayesian networks Influence diagrams Markov decision processes Anyone else know more on her? My thinking is...one step closer to the way G engineers think .
Don't invest too much in professors and instructors. If they were really any good they wouldn't be teaching.
What?!! I've had some extraordinary professors, who were dedicated to helping students learn. Don't fall for that ridiculous old saying, "Those who can, do; those who can't, teach." Some have left high-paying jobs in favor of the love of the classroom environment.
Yes, I agree! There are also others that have attended these classroom activities and gone on to, hmhmm I hear yu shenron One of the terms I am particularly interested in is "Bayesian networks" or "Bayesian logic" I think it has a lot to do with how Google is figuring out authenticity of content and links within that content. My understanding about Bayesian logic is it is about "what is around it but not on it". It would make sense that this logic could be used in a very big way in search algos.
What do you think Google search algos try to be? "Did you mean..." I suppose in my original post I should not have singled out Daphne Koller. The real purpose of this post was to try get more in the minds of the people that create these amazing algos. It is the colonel's secret sauce recipe I am after . Wouldn't it be powerful for SEM to Google? H