Reproducing examples from the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman with Python and its popular libraries: numpy, math, scipy, sklearn, pandas, tensorflow, statsmodels, sympy, catboost, pyearth, mlxtend, cvxpy. Almost all plotting is done ...
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 ...
而且这章还用到了泛函分析希尔伯特空间空空间之类的,functional analysis也是数学系大三的课,所以对数学系学生来说读这本书也是挺合适的,很多数学系的学生总是抱怨说读了这么多这些东西以后有什么用啊,其实如果上cs 229 machine learning却是没用,但是读读这本elements of statistcal learning还是能刷存在感的。如果以...
书名: The Elements of Statistical Learning 作者: Trevor Hastie/Robert Tibshirani/Jerome Friedman 副标题: Data Mining, Inference, and Prediction 页数: 745 出版社: Springer 出版年: 2016-1-1 第三章(1) 在搜集寻找了很多机器学习方面的资料之后,我的目光最后还是回到了这本经典巨作。决定边读边写一些笔记...
《The Elements of Statistical Learning》被称做“ESL”; 另外一本经典统计学书籍《An Introduction to Statistical Learning》被称作“ISL” “ISL”是“ESL”的入门版本,“ESL”是进阶版本。 所以,如果看不懂“ESL”这种烧脑的进阶版,推荐先看“ISL”入门版本。
The Elements of Statistical Learning (ESL) 的中文翻译、代码实现及其习题解答。 习题解答 代码实现 EM 算法模拟 朴素贝叶斯进行文本挖掘 CART实现 AdaBoost实现R&Julia MARS实现 RBM,或者可以查看Jupyter Notebook Gibbs Self-organized Map kernel estimation ...
Give The Elements of Statistical Learning a try, and follow in the footsteps of so many other learners who have come before you. Since the price is right, you have nothing to lose. Related: A Concise Course in Statistical Inference: The Free eBook...
《The Elements of Statistical Learning》教材答案 《The Elements of Statistical Learning》是一本由Trevor Hastie / Robert Tibshiran著作,Springer出版的Hardcover图书,本书只是提供了机器学习、数据挖掘、模式识别等领域的统计学观点,所以还是建议继续阅读其他的相关书籍,以期达到融会贯通。
2. Overview of Supervised Learning 3. Linear Methods for Regression 4. Linear Me 上传者:weixin_35779001时间:2022-08-03 The Elements of Statistical Learning:Travor Hastie(2ed) 2018 中文+英文版+习题解 《统计学习基础-数据挖掘、推理与预测》 The Elements of Statistical Learning:Data Mining, Inference...
Hastie, T., Tibshirani, R., and Friedman, J. (2009).The Elements of Statistical Learning. Springer Science, second edition. Jakulin, A., Mozina, M., and Demsar, J. (2005). Nomograms for visualizing support vector machines. InKDD, pages 108–117. ...