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Aug 21 at 15:40 comment added Moon There is actually a set of questions on machine learning that wouldn't be on-topic on both Cross Validated and Data Science, but would be on-topic on Computer Science - the sort of questions that are of interest to the computer science community but not of interest to the statistics and data science communities.
Feb 3, 2023 at 16:16 history edited This_is_NOT_a_forum CC BY-SA 4.0
(While we are at it - the question was "protected" (see the timeline).) [<en.wikipedia.org/wiki/Machine_learning> <stats.stackexchange.com/tour> <stackoverflow.design/brand/copywriting/naming/> <en.wikipedia.org/wiki/Data_science> <datascience.stackexchange.com/tour>]
Feb 8, 2019 at 20:04 comment added WestCoastProjects Thx for this clarification: while it does corroborate my suspicions it is useful to have brought that out to the open.
Aug 30, 2017 at 8:13 history edited Dawny33 CC BY-SA 3.0
deleted 1 character in body
Jul 22, 2017 at 22:56 comment added Travis The difference between Cross Validated and the Data Science SE seems parallel to the difference between the Computer Science SE and the Software Engineering SE, with a bit of Stack Overflow thrown into both.
Jul 21, 2017 at 19:25 comment added Black Milk So can we agree that CV is oriented towards the more academic aspects of data science and statistics (e.g. understanding Singular Value Decomposition, Regularization, etc.) whereas DS is geared more toward implementation and tools (e.g Matrix Factorization Libraries, Google Dataflow, Tensorflow, etc)?
Mar 16, 2017 at 16:02 history edited CommunityBot
replaced http://meta.stats.stackexchange.com/ with https://stats.meta.stackexchange.com/
Oct 1, 2015 at 7:20 vote accept Dawny33
Sep 28, 2015 at 8:29 history answered Dawny33 CC BY-SA 3.0