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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
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3
answers
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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 …
3
votes
1
answer
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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 …
3
votes
1
answer
2k
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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?
1
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0
answers
462
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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 …