Mining of Massive Datasets(mmds.org)

109 pointsby markhkim10 lat temu7 comments

http://www.mmds.org/

7 comments

This coursera course was taken down, but it is now up and running at lagunita.stanford.edu [0], which uses edx's open source platform [1]. The same happened to other stanford courses previously on coursera, you can find them here [2], including Compilers, Automata Theory, and Convex Optimization.

[0] https://lagunita.stanford.edu/courses/course-v1:ComputerScie...

[1] https://open.edx.org/ https://github.com/edx/edx-platform

[2] https://lagunita.stanford.edu/courses

PaulHoule10 lat temu

What amazed me is how much of this is 1990s stuff.

cantagi10 lat temu

How do you mean? Do you know of any up-to-date books on large scale data mining?

mrcactu510 lat temu

massive is an understatement. I have only dealt with puny GB sized data sets. They deal with vectors which cannot fit into main memory.

infinitone10 lat temu

Yes, in general what they refer to are things like the IRS Tax records (250 TB), Yahoo Ad data (900 TB). You just can't use a single machine to work with such data.

leksak10 lat temu

Deadlines are at the 29th of November. Best of luck

nthcolumn10 lat temu

tldr; parallel map reduce. ;)