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24 de ago. de 2024 · Trevor Hastie and Robert Tibshirani. Generalized additive models for medical research. Statistical methods in medical research, 4(3):187--196, 1995.
Há 3 dias · Efron, Bradley, Trevor Hastie, Iain Johnstone, and Robert Tibshirani. "Least angle regression." The Annals of statistics 32, no. 2 (2004): 407-499. Cited by 11138. Google Scholar has the Paper PDF file. lab 04
20 de ago. de 2024 · by Trevor Hastie, Robert Tibshirani, and Jerome Friedman. 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.
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Há 2 dias · Title: Pam: Prediction Analysis for Microarrays: Description: Some functions for sample classification in microarrays. Authors: Trevor Hastie [aut], Rob Tibshirani [aut], Balasubramanian Narasimhan [aut, cre], Gilbert Chu [aut]
24 de ago. de 2024 · Robert Tibshirani. 1996. Regression Shrinkage and Selection Via the Lasso. Journal of the Royal Statistical Society: Series B (Methodological), ...
Há 5 dias · Verified Certificate Issued August 27, 2024; Valid Certificate ID 94f0ae6f685b424c90024af590a47618; Please note: some online courses may draw on material from courses ...
Há 4 dias · This book provides hands-on modules for many of the most common machine learning methods to include: Generalized low rank models. Clustering algorithms. Autoencoders. Regularized models. Random forests. Gradient boosting machines. Deep neural networks. Stacking / super learners.
