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Area 51 » Technology

definition commitment beta
closed after
15
days in beta

Machine Learning

Q&A site for students and researchers in the field of machine learning.
At the end of beta, this site had...

1
questions
per day
Needs Work – 10 questions per day on average is a healthy beta, 5 questions or fewer per day needs some work. A healthy site generates lots of good content to make sure users keep coming back.
100%
answered
Excellent – 90% answered is a healthy beta, 80% answered needs some work. In the beta it's especially important that when new visitors ask questions they usually get a good answer.
20
avid users
233
total users
Needs Work – Every site needs a solid group of core users to assist in moderating the site. We recommend:
  • 150 users with 200+ rep (currently 20 users with 200+ rep)
  • 10 users with 2,000+ rep (currently 0 users with 2,000+ rep)
  • 5 users with 3,000+ rep (currently 0 users with 3,000+ rep)
2.0
answer ratio
Okay – 2.5 answers per question is good, only 1 answer per question needs some work. On a healthy site, questions receive multiple answers and the best answer is voted to the top.

Top Beta Users

reputation most active
2k
site rep
0
questions
10
answers
tdc
1,814
●14

How can I discern whether a...

1k
site rep
0
questions
5
answers
carlosdc
1,092
●9

Dimensionality reduction method...

883
site rep
2
questions
3
answers
andreister
883
●8

Machine Learning projects in the...

Functional principal component...

661
site rep
9
questions
4
answers
Dov
661
●10

How to verify that the model is...

what learning techniques work...

569
site rep
0
questions
3
answers
jb.
569
●10

Should I re-scale the PCA score...

493
site rep
0
questions
0
answers
winwaed
493
●1●16

Why do Naive Bayesian Classifiers...

At what n do n-grams become...

366
site rep
1
question
1
answer
jonsca
366
●14

Are there methods to help...

How can I discern whether a...

343
site rep
0
questions
2
answers
Thom Blake
343
●12

What might be a good small...

292
site rep
1
question
1
answer
Michael McGowan
292
●12

Predicting multiple targets or...

what learning techniques work...

275
site rep
0
questions
0
answers
Niko Gamulin
275
●5

Classification with tall fat data

1 2