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I'd like to know more about slide 6:

http://amueller.github.io/sklearn_tutorial/#/6

Why the [Classification][100K sample?] checkpoint?

And more info in general about this whole cheat-sheet.

SGD is fast but not necessarily more accurate. If you've got lots and lots of data, then a simple yet fast approach is likely to be a good choice to start with.

Thanks.

I also found a blog post that figured the diagram, with some background infos:

http://peekaboo-vision.blogspot.de/2013/01/machine-learning-...

And a prior HN discussion: https://news.ycombinator.com/item?id=5831512

There are many others too, but with few points and comments

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