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I've been thinking about next term and exactly what models and methods to cover. There's obviously a ton of potential approaches. Right now we have a lot of the basics covered but I wonder if we shou…
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@dbuenzli wrote:
> @rleonid Caveat, I have little knowledge on how oml is structured (I never used it, yet). However I do have the impression that by extracting oml-lite the way you did through cppo …
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http://blogs.microsoft.com/next/2015/11/11/happy-sad-angry-this-microsoft-tool-recognizes-emotions-in-pictures/
how easy is it to use Swift AI to detect emotion?
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例年のKDDのTutorialからキャッチアップをする
- [x] http://dblp1.uni-trier.de/db/conf/kdd/kdd2015.html
- [x] http://dblp1.uni-trier.de/db/conf/kdd/kdd2014.html
- [x] http://dblp1.uni-trier.de/db/conf/kdd/kdd2013.html
-…
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We can recommend some papers for further discussion under this issue. Include a link to the paper + the conference name and other related information (like the abstract, some basic descriptions, links…
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- [x] 1. randomize sampling of data
- [x] 2. plot all points, instead of just mean
- [x] 3. plot lower bound on metrics as a function of n
- [x] 4. make sure figures have legends
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I have data which has 50000 rows. In that 41 features and 23classes. Is it possible to apply dynamic mode decomposition. If so can you give an example for classifying my dataset
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In my [specific case](https://github.com/cognoma/machine-learning/pull/51#discussion_r79705959) we have the following pipeline:
``` python
clf_grid = GridSearchCV(estimator=SGDClassifier, param_grid=…