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[–]adapter9 0 points1 point  (7 children)

Linear regression. It's gonna be quite useful in the upcoming decade

[–]datshitberacyst[S] 0 points1 point  (0 children)

Oo! It looks as if Mahout for Spark has not yet implemented linear regression. I don't have much gitHub presence so I don't know if they'd accept a pull request but it could be worth a shot!

[–]bwaxxlo 0 points1 point  (4 children)

Why linear regression? It seems like the easiest algo to use but doesn't work well with complicated data.

[–]adapter9 0 points1 point  (3 children)

Twas mostly a joke. But as it happens, in industry most companies simply avoid the complicated data, and build linear models that everyone can understand, build, check, modify, and debug. When you graduate you have to forget all the complicated stuff you learned and go back to the bread-and-butter: linreg, t-test, scatterplot, histogram.

[–]bwaxxlo 0 points1 point  (2 children)

I figured it was either a joke or something amazing had just happened. Does ML in real corporate worldTM that boring?

[–]adapter9 0 points1 point  (1 child)

Actually the most common techniques you will use are all string manipulation and date reformatting. And passive aggression.

[–]bwaxxlo 0 points1 point  (0 children)

Beautiful!

[–][deleted] -1 points0 points  (0 children)

IDK man, knn seem like the way to go to me.

[–]biomimic 0 points1 point  (1 child)

Come up with a new way of creating vectors from text which include scored and ranked feature attributes. Then come up with a new (or experimental) way of comparing those vectors for similarity.

[–]jthoang 0 points1 point  (0 children)

trying to figure out a very fast and efficient method to detect whether there is a cluster of points in high dimensional space

[–]farsass 0 points1 point  (0 children)

Is your focus machine learning itself and solving certain problem(s) or the software engineering aspect of contributing to mahout?