Search Results
| 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 machine-learning
Search options not deleted
user 265510
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.
2
votes
1
answer
712
views
Mini batch K means: how is it guaranteed that at the end every element is labeled?
I'm trying to completely understand Mini Batch K means
After reading the following pseudo code ...
We all know that in every iteration, you choose a fixed size batch with a random set of elements …
- 269
1
vote
1
answer
2k
views
How come Mini Batch K means partial_fit method be useful for stream clustering?
Currently, I'm studying the advance in cluster analysis regarding stream clustering. I ended up assessing Mini batch K means because of some comments I read on the Internet, like the following one:
…
- 269