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Reinforcement Learning Placement
Shouldn't reinforcement learning be a subset of unsupervised learning?
- I don't think so. Reinforcement learning is not completely unsupervised: the algorithm has access to a supervision signal (the reward). It's just that it is difficult to determine which action(s) led to the reward, and there's an exploitation vs. exploration tradeoff. So, it isn't strictly supervised learning, either. It's somewhere in-between. -- hike395 July 1, 2005 07:08 (UTC)
Definition by Samuel
The definition by Arthur Samuel,(1959) seems to be non-existent. Some papers/books cite his key-paper on ML in Checkers-games (see: http://aitopics.org/sites/default/files/classic/Feigenbaum_Feldman/Computers_And_Thought-Part_1_Checkers.pdf) but that doesn't contain a definition whatsoever (better yet, it states "While this is not the place to dwell on the importance of machine-learning procedures, or to discourse on the philosophical aspects" p.71). So I wonder whether we should keep that definition in the wiki-page... Otherwise I'm happy to receive the source+page where that definition is stated :)
given that the great Sir Wiles has rejected the application of mathematics to finance, and machine learning itself is a manifestation of sophisticated mathematics, can we start the discussion about removing mentions of fields such as "computational finance" and/or "mathematical finance".
both fields, to me, have always felt dishonest and uncomfortable given their lack of rigorousness http://mathbabe.org/2013/10/06/sir-andrew-wiles-smacks-down-unethical-use-of-mathematics-for-profit/ it is long overdue for those who love to learn, to take a stand against the abuse of our beloved maths. 126.96.36.199 (talk) 19:46, 2 April 2016 (UTC)
- I have reverted your edit to remove the mention that machine learning has been applied in finance. Wikipedia should be from a neutral point of view. Sir Andrew Wiles in the article you have shared does not claim that the mathematics is not rigorous, he is concerned with the ethical implications of the application. To have concerns about the ethical use of mathematics is important, but does not warrant the removal of mentions of fields that exist from wikipedia as we should be neutral as far as possible. Zfeinst (talk) 13:25, 3 April 2016 (UTC)
trimming or removing commercial software section
any thoughts by the *community* about hte relevance of some of the commercial software entries? i am thinking this list can be long if we start adding arbitrary software. i was wondering if people would be open to trimming the list or removing it all together. my thinking is that any prospective students should understand that this field is intense on mathematics, and while there is commercial appeal, much of the real work is done in the trenches.
things like google API and stuff can stay, obviously, but with the recent addition of a useless piece of software, i thought it'd be fruitful to have this discussion to prevent the list from growing.
Numerical Optimization in Statistics might be a big mistake
This is because an optimizer constructed with sample data is a random variable, and the extreme value of the optimizer (minimum or maximun) cannot be more significant than other values of the optimizer. We should take the expectation of the optimizer to do statistical decision, e.g. model selection. Yuanfangdelang (talk) 19:59, 30 August 2016 (UTC)
- Wikipedia is not a statistics journal. To discuss what statisticians should do, or should not do, is outside the scope of Wikipedia. Publish your opinion in relevant statistics journals instead and "fix" it there first. Wikipedia is an encyclopedia, which summarizes and references important prior work only and does not do original research. We literally do not care of what "might be a big mistake" (as long as it is a mistake common e.g. in literature): Wikipedia has an article on Flat Earth despite this being a "mistake" because it used to be a dominant concept. HelpUsStopSpam (talk) 09:48, 31 August 2016 (UTC)