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The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Springer Series in Statistics) Trevor Hastie Robert Tibshirani Jerome Friedman . Springer /2003-07-30 Hardcover / 552 Pages isbn-10: 0387952845 / isbn-13: 9780387952840 / Edition: 1st ed. 2001. Corr. 3rd printing Book / Textbook Details Add to Comparison Cart

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics) Titulo del libro: The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics) Titulo del libro: The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

When we raise money it’s AI, when we hire it's machine learning, and when we do the work it's logistic regression. (Juan Miguel Lavista @BDataScientist). Machine learning (ML) may be distinguished from statistical models (SM) using any of three considerations: Uncertainty: SMs explicitly take uncertainty into account by specifying a probabilistic model for the data.

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