yntxie

浙江 杭州

感兴趣的主题: matlab 程序员 数据挖掘 计算机视觉 数据分析 opencv 机器学习

1个粉丝

yntxie 的课程评论

更多评论

yntxie 关注的课程

Introduction to Mathematical Philosophy (Coursera) 0 个评论 关注

开始时间: 04/27/2015 持续时间: 8 weeks

主页: https://www.coursera.org/course/mathphil

简介: Learn how to apply mathematical methods to philosophical problems and questions.

CVX101: Convex Optimization (Stanford Online) 1 个评论 关注

开始时间: 01/20/2014 持续时间: 未知

主页: https://class.stanford.edu/courses/Engineering/CVX101/Winter2014/about

简介: This course concentrates on recognizing and solving convex optimization problems that arise in applications. The syllabus includes: convex sets, functions, and optimization problems; basics of convex analysis; least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems; optimality conditions, duality theory, theorems of alternative, and applications; interior-point methods; applications to signal processing, statistics and machine learning, control and mechanical engineering, digital and analog circuit design, and finance.

StatLearning: Statistical Learning (Stanford Online) 3 个评论 关注

开始时间: 01/20/2014 持续时间: 未知

主页: https://class.stanford.edu/courses/HumanitiesScience/StatLearning/Winter2014/about

简介: This is an introductory-level course in supervised learning, with a focus on regression and classification methods. The syllabus includes: linear and polynomial regression, logistic regression and linear discriminant analysis; cross-validation and the bootstrap, model selection and regularization methods (ridge and lasso); nonlinear models, splines and generalized additive models; tree-based methods, random forests and boosting; support-vector machines. Some unsupervised learning methods are discussed: principal components and clustering (k-means and hierarchical).

Social Network Analysis (Coursera) 2 个评论 关注

开始时间: 待定 持续时间: Unknown

主页: https://www.coursera.org/course/sna

简介: This course will use social network analysis, both its theory and computational tools, to make sense of the social and information networks that have been fueled and rendered accessible by the internet.

更多课程