The Elements of Statistical Learning
de Trevor Hastie, Robert Tibshirani, Jerome Friedman
4.3 · 3 votos
Describes important statistical ideas in machine learning, data mining, and bioinformatics. Covers a broad range, from supervised learning (prediction), to unsupervised learning, including classification trees, neural networks, and support vector machines.
