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Results tagged with machine-learning
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user 14582
Machine Learning is a subfield of computer science that draws on elements from algorithmic analysis, computational statistics, mathematics, optimization, etc. It is mainly concerned with the use of data to construct models that have high predictive/forecasting ability. Topics include modeling building, applications, theory, etc.
0
votes
1
answer
2k
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sckit-learn Cross validation and model retrain
I want to train a model and also perform cross validation in scikit-learn, If i want to access the model (For instance to see the parameter's selected and weights or to predict) i will need to fit it …
- 336
14
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2
answers
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Validation vs. test vs. training accuracy. Which one should I compare for claiming overfit?
I have read on the several answers here and on the Internet that cross-validation helps to indicate that if the model will generalize well or not and about overfitting.
But I am confused that which t …
- 336
7
votes
1
answer
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difference between empirical risk minimization and structural risk minimization?
I understand the meaning of empirical risk minimization as separate topic and was reading about structural risk minimization, it is hard for me to understand the difference between these two.
I read …
- 336