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Entirely possible. We've thrown around ideas before about doing some kind of machine learning.
– Andy
Commented Feb 25, 2017 at 2:36
7

We've tried various forms of machine learning, but due to the lack of our experience in that field we have found that regex-based searching is more effective.
– angussidney
Commented Feb 25, 2017 at 4:25
4

I did write a Naive Bayes ML version of Smokey a while back, making use of our existing data for classification sets - but either I don't have enough experience with ML to do it right, or it just plain didn't work, because its accuracy was no better than just guessing.
– ArtOfCode
Commented Feb 25, 2017 at 22:49

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create code fences with backticks ` or tildes ~
```
like so
```
add language identifier to highlight code
```python
def function(foo):
print(foo)
```
put returns between paragraphs
for linebreak add 2 spaces at end
_italic_ or **bold**
indent code by 4 spaces
backtick escapes `like _so_`
quote by placing > at start of line
to make links (use https whenever possible)
<https://example.com>
[example](https://example.com)
<a href="https://example.com">example</a>

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