曹单锋

工作要理性~生活要感性~恋爱要性感~ :-D

浙江 绍兴

感兴趣的主题: 自由 生物信息学 模式识别 cpp 机器学习

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曹单锋 的课程评论

曹单锋 评论了课程: Bioinformatics Algorithms (Part 1)

2014-01-28 14:38

导师是生物信息算法领域无人不知的大牛。课程涉及很多算法,贪心、图论、动态规划等等。课程有点难,需要一定的编程能力,论坛里经常有人发“I’m out”之类的帖子。总共10周的课程,作业都是编程题,每周都会有4-8个,总共64题,通过60%给证,通过80%优秀。我每周都花>15h的时间在这门课上,中途也有放弃的念头,后面几周的作业很多没写,最后60+飘过。统计了下,我一共写了4000+行的代码(C++)。。。收获非常大,寒假打算再复习一遍。几个月之后还会有part2,我肯定也是会修的。

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曹单锋 关注的课程

Computing for Data Analysis (CourseraArchive) 7 个评论 关注

开始时间: 04/22/2022 持续时间: 4 weeks

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

简介: This course is about learning the fundamental computing skills necessary for effective data analysis. You will learn to program in R and to use R for reading data, writing functions, making informative graphs, and applying modern statistical methods.

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

开始时间: 04/22/2022 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).

Learning From Data (EdxArchive) 1 个评论 关注

开始时间: 04/22/2022 持续时间: 10 weeks

主页: https://www.edx.org/archive/learning-data-caltechx-cs1156x

简介: Introductory Machine Learning course covering theory, algorithms and applications. Our focus is on real understanding, not just "knowing."

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