Skip to main content
Search type Search syntax
Tags [tag]
Exact "words here"
Author user:1234
user:me (yours)
Score score:3 (3+)
score:0 (none)
Answers answers:3 (3+)
answers:0 (none)
isaccepted:yes
hasaccepted:no
inquestion:1234
Views views:250
Code code:"if (foo != bar)"
Sections title:apples
body:"apples oranges"
URL url:"*.example.com"
Saves in:saves
Status closed:yes
duplicate:no
migrated:no
wiki:no
Types is:question
is:answer
Exclude -[tag]
-apples
For more details on advanced search visit our help page
Results tagged with
Search options not deleted user 127191

Machine learning algorithms build a model of the training data. The term "machine learning" is vaguely defined; it includes what is also called statistical learning, reinforcement learning, unsupervised learning, etc. ALWAYS ADD A MORE SPECIFIC TAG.

8 votes
3 answers
5k views

Probabilistic vs. other approaches to machine learning

I'm taking a grad course on machine learning in the ECE department of my university. On the first lecture my professor seemed to make it a point to stress the fact that the course would be taking a pr …
Austin's user avatar
  • 753
3 votes
1 answer
2k views

Is a very high cost function value a problem by itself?

I'm in the beginnings of following along with the Coursera machine learning course, and I just did univariate linear regression. My regression line/output looks good and the cost function decreased, b …
Austin's user avatar
  • 753
3 votes
1 answer
2k views

Why does training error increase in learning curves?

I can't seem to think of a reason why training error increases in learning curves as the number of samples increases. Would someone please explain?
Austin's user avatar
  • 753
1 vote
0 answers
462 views

Nested cross-validation and quantifying uncertainty

Background: I'm working on a ML project to predict a continuous target and am comparing different models using nested cross-validation, where I don't have access to the test set for which my model wil …
Austin's user avatar
  • 753