Dov

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16 Questions

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12	What is a good resource that includes a comparison of the pros and cons of different classifiers?
8	Functional principal component analysis (FPCA). what is all about?
8	What sense does it make to compare p-values to each other?
6	How to verify that the model is real?
5	When should dimensional-reduction be used?

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14 Answers

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7	Domain-agnostic feature engineering that retains semantic meaning?
7	Why is there an asymmetry between the training step and evaluation step?
5	How to decide on the correct number of clusters?
3	What are the strongest boosting alternatives to Adaboost?
3	Dealing with very large time-series datasets

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31 Tags

13 machine-learning × 6	6 classification × 12
10 feature-selection × 2	5 clustering × 2
10 feature-construction × 2	5 k-means
7 predictive-models × 2	3 neural-networks
7 cross-validation	3 ensemble

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