为了给大家一个比较客观公正的建议,我特地去买了几本广受好评的机器学习入门书籍: An Introduction to Statistical Learning with Applications in R - Gareth J.et al. Python Machine Learning- Sebastian Raschka Programming Collective Intelligence (集体编程智慧) - Toby Segaran 机器学习 - 周志华 统计学习方法 ...
Tibshirani, “An Introduction to Statistical Learning: with Applications in R”, Springer, 1st edition, 2013. T. Hastie, R. Tibshirani and M. Wainwright, “Statistical learning with sparsity: the lasso and generalizations”, Chapman & Hall/CRC, 2015. 周志华,机器学习, 北京: 清华大学出版社, ...
根据第一段Thebookislessaboutlearninghowtousespecificmathematicaltoolsthanitisaboutexploringthenumerouswaysstatisticscanhelpsolvereal-worldproblemsandwhywarningsareoftenaddedtostatisticalclaims.(这本书不是关于学习如何使用特定的数学工具,而是关于探索统计学可以帮助解决现实世界问题的众多方法,以及为什么经常在统计声明中添...
【公开课】Intro to Data Science 2019 Fall 数据科学2019秋季 UW 华盛顿大学 720p共计62条视频,包括:1_Intro to Data Science Overview、2_Intro to Data Science Historical Context、3_Intro to Data Science What is Data Science等,UP主更多精彩视频,请关注UP账号
The book is less about learning how to use specific mathematical tools than about exploring the numerous ways statistics can help solve real world problems and why warnings are often added to statistical claims.Spiegelhalter, a statistician at the University of Cambridge. keeps things lively by ...
2008 Mosteller Statistician of the Year, awarded by the Boston chapter of the American Statistical Association for exceptional contributions to the field of statistics and outstanding service to the statistical community. To learn more, please go to: http://www.williams.edu/admin/news/releases/1624...
CS189 机器学习导论 Intro to Machine Learning 加州大学伯克利分校 22SP 2669播放 Lecture 1: Introduction 1:20:38 Lecture 2: Linear Classifiers 1:29:15 Lecture 3: Gradient Descent 1:24:26 Lecture 4: SVM 1:28:11 Lecture 5: ML Abstractions 1:35:17 Lecture 6: Decision Theory 1:27:07 Lectur...
The book is less about learning how to use specific mathematical tools than it is about exploring the numerous ways statistics can help solve real-world problems -and why statistical claims often have to be filled with warnings.2 Spiegelhalter, a statistician at the University of Cambridge, keeps...
statistical learning theory & 统计学习理论 \\ stopping criteria & 停止条件 \\ structural risk minimisation & 结构风险最小 \\ structural risk minimisation data dependent & 数据依赖的结构风险最小 \\ supervised learning & 监督学习 \\ Support Vectors Machines & 支持向量机 \\ ...
9.520: Statistical Learning Theory and Applications February 22nd, 2010 Generalization Bounds, Intro to Stability 来自 Semantic Scholar 喜欢 0 阅读量: 40 作者:LL Rosasco,SJ Kaeli,J Wiens 摘要: The goal of today's class is to revisit the concept of generalization bounds and derive them using a...