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Make no mistake - this is indeed quite deep. To be able to assimilate it well you will need at least knowledge of Analysis, Measure Theory, and good mathematica

by mitko 17y ago

Make no mistake - this is indeed quite deep. To be able to assimilate it well you will need at least knowledge of Analysis, Measure Theory, and good mathematical maturity. I was able to read only part 1: Foundations, and these are my impressions. Definitely goes into my Bookmarks, so that I can read the rest... Edit: The title was changed from "Probability Theory 101 (by Fields medallist Terry Tao)".

nova 17y ago
Yes. I think this exceeds the capacity of the blog medium.
- est 17y ago
  > exceeds the capacity of the blog medium. What's the better alternative?
- jfarmer 17y ago
  I don't, it's just not for the lay audience.
leibniz 17y ago
Well, the hacker news feature a lot of programming-related stuff that is certainly 'above' the (average) blog post level (in the whole blogosphere). I know of no better meta-filter than hacker news for blog entries attracting a hacker's mindset. Certainly, the appreciation for mathematical thinking as well as mathematical methods plays a big role in this (analytic) mind set. While the novice programmer might not get (the content and purpose of) python vs. ruby comparisons and the like, readers with a weak background in math will not find this probability entry useful (or too 'difficult'). However, for a certain subset of all hacker news readers, which are looking to dig deeper, it is a very nice resource. Hacker news, to me, is especially useful since it provides links which are well distributed in terms of this 'entry level'.
- pvg 17y ago
  The problem was not 'is this appropriate for HN' but 'the title is wildly misleading'.
- mitko 17y ago
  I agree that this is of great value to HN, and especially to me.