- Deep learning - Survival modeling - Unsupervised learning - Multiple testing Course Auditing EdX StanfordOnline USA Beginner Self-Paced 5-10 Hours/Week Paid Certificate 169.00 EUR English English Enroll in course MOOC List is learner-supported. When you buy through links on our site, we may ea...
statistical learning has become a critical toolkit for anyone who wishes to understand data.An Introduction to Statistical Learningprovides a broad and less technical treatment of key topics in statistical learning. This book is appropriate for anyone who wishes to use contemporary tools for data...
Springer Texts in Statistics(共118册), 这套丛书还有 《Stat Labs》《Applied Mathematical Demography》《Mathematical Statistics》《An Introduction to Statistical Learning》《A First Course in Probability Models and Statistical Inference》 等。 喜欢读"An Introduction to Statistical Learning"的人也喜欢的电子...
The Elements of Statistical Learning的创作者 ··· Trevor Hastie 作者 作者简介 ··· Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models ...
This book provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past t
翻译Statistical Learning with Sparsity的一些笔记 (1) fraction deviance explained回归分析中null model表示空模型,模型只有一个常量。(2)多分类logistic回归,也称softmax,它的参数有冗余,其原因可以参见http://ufldl.stanford.edu/wiki/index.php/Softmax%E5%9B%9E%E5%BD%92中关于“Softmax回归模型参数化的特点...
The reference class problem is associated with the idea that there is often no unique way to assign a conditional probability to a particular event. Consequently, predictive multiplicity–the fact that machine learning problems often admit multiple competing models that perform more or less equally wel...
With journals, it’s all about the wedding, never about the marriage. (59 comments) Stanford medical school professor misrepresents what I wrote (but I kind of understand where he’s coming from) (59 comments) Hey—let’s collect all the stupid things that researchers say in order to defle...
Gehring2017 ConvS2S: Convolutional Sequence to Sequence Learninghttps://arxiv.org/abs/1705.03122 Nvidia OpenSeq2Seqhttps://github.com/NVIDIA/OpenSeq2Seq WMT14 by Stanford NLPhttps://nlp.stanford.edu/projects/nmt/ cdyer2013: A Simple, Fast, and Effective Reparameterization of IBM Model 2 ...
This repository contains Python code for a selection of tables, figures and LAB sections from the first edition of the book 'An Introduction to Statistical Learning with Applications in R' by James, Witten, Hastie, Tibshirani (2013). For Bayesian data analysis using PyMC3, take a look at thi...