Re:Mining of Massive Datasets
by krat0sprakhar on Monday November 03, 2014 @02:07PM
(#8552728)
In my opinion, MOOCs tend to underplay pre-requisites. The content in the initial classes lead to a bit of furore amongst the students on exactly the same topic. Evidently, a lot of students found the notation and mathematics (e.g. Algebra, matrices, eigenvalues, calculus) very hard to understand.
In response to this, one of the faculty - Jeff Ullman categorically stated in the forums that this course is taught to graduates in Stanford (CS 2xx is grad level) and an undergraduate course in mathematics is pre-requisite. Although most of the mathematics covered in the course is covered in a typical undergrad class, IMO the overall content is quite advanced and graduate class worthy.
That being said, the forums (and the book) are quite helpful, and given you put in enough time, you will sail through.
In response to this, one of the faculty - Jeff Ullman categorically stated in the forums that this course is taught to graduates in Stanford (CS 2xx is grad level) and an undergraduate course in mathematics is pre-requisite. Although most of the mathematics covered in the course is covered in a typical undergrad class, IMO the overall content is quite advanced and graduate class worthy.
That being said, the forums (and the book) are quite helpful, and given you put in enough time, you will sail through.
Hope this answers your question!