l13: Заключительная

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  • 1. Data Science 13. 31 2014 .

2. 3. 4. / feature selection / feature discretization / data cleansing / dimensionality reduction 5. ? 1. : DT, KNN, ... 2. 3. 6. , , - / Scheme-independent - / Scheme-specic 7. - , near-hit, near-miss Decision Tree, Linear Model 8. ? : 100 Percentile : 20 ? Mutual Information I(X, Y ) = x y p(x, y) log p(x, y) p(x)p(y) Statistical Tests Chi2 , binomial, ... 9. - Forward-selection Backward-elimination 10. : 11. : 12. : 13. neural networks genetic algorithms dimensionality reduction semi-supervised learning reinforcement learning NLP, SNA 14. Kaggle http://blog.kaggle.com/ Hilary Mason http://www.hilarymason.com/ Alex Holmes http://grepalex.com/ Cloudera http://blog.cloudera.com/ Coursera (+PhD) 15. m.rulik@corp.mail.ru n.anokhin@corp.mail.ru 16. , (17 00.00) bb (17 09.30) : 10 + 5