You mean keep tinkering with the study until it "works"? If you're not careful, you could get http://en.wikipedia.org/wiki/Publication_bias on a massive new scale... It would be interesting to try to find scientifically…
(1) Axler's "Linear Algebra Done Right" ...a nice introduction to abstract linear algebra, but not quite abstract or terse enough. (2) These course notes: http://www.math.mcgill.ca/goren/AlgebraII07-08/AlgebraII.htm…
no, yes, yes, yes, no, yes
I'd recommend doing a startup and/or side project involving interesting functions of massive datasets. Technology-wise, at least consider... - learning SML or OCaml or Erlang - learning Python - going deeper into…
You mean keep tinkering with the study until it "works"? If you're not careful, you could get http://en.wikipedia.org/wiki/Publication_bias on a massive new scale... It would be interesting to try to find scientifically…
(1) Axler's "Linear Algebra Done Right" ...a nice introduction to abstract linear algebra, but not quite abstract or terse enough. (2) These course notes: http://www.math.mcgill.ca/goren/AlgebraII07-08/AlgebraII.htm…
no, yes, yes, yes, no, yes
I'd recommend doing a startup and/or side project involving interesting functions of massive datasets. Technology-wise, at least consider... - learning SML or OCaml or Erlang - learning Python - going deeper into…