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Results tagged with machine-learning
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user 59395
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.
1
vote
Learning a model which can fit the training data accurately
Ability to perfectly fit the training set varies from model to model. It might not be possible to do it by fitting a mixture of distributions that you are using, but it should be possible to do it by …
- 1,160
4
votes
Question regarding form of a cost function while training a model
Almost all the ingredients to understanding the probabilistic interpretation of the squared cost function are already in you question. The thing that is missing, is the notion of likelihood maximizati …
- 1,160
1
vote
Machine Learning approach to solve this selection problem?
If you known nothing about your performance measure, then no free lunch theorem seems to imply that you can't expect to improve the performance of exhaustive search.
- 1,160
0
votes
How to decide model parameters of a neural network effectively
I have not seen a way to get the same reliability as the approach you described with less training time.
However, I may offer some very informal thoughts about this. It would be best to get a second o …
- 1,160
2
votes
How can feature relevance be assessed with categorical data?
One possible approach for the feature importance problem is to use permutation importance, which is very nicely described here.
After a very brief search I can't find it implemented directly in sciki …
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