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[选课] CS小白能不能选学校暑期课的machine learning

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Maxxie1995 发表于 2015-6-4 10:08:55 | 显示全部楼层 |阅读模式

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如题,机器学习是研究生院开的课,NYU stern的老师上课,我是大二商科生,数理基础不高,就学过高数两学期,线性代数,概率论,数理统计,正在上随机过程,计算机的课上过C++和数据结构。R语言基本等于不会。这个机器学习课就一周,一学分,能不能HOLD住OJZ。
Course Description: This is an introductory/medium level course in machine learning, which covers both supervised (regression and classification) and unsupervised learning (clustering and dimension reduction). We will also cover the most popular programming language in statistics and machine learning (R language) and demonstrate how to use R to implement the machine learning algorithms.
Syllabus:  review of basic probability and statistics, maximum likelihood and maximum a posteriori. For supervised learning, we will cover linear and polynomial regression, kernel regression, na?ve Bayes classifier, logistic regression, K-nearest neighbor, decision and regression trees, , model selection and regularization methods (ridge and lasso);  cross-validation , support-vector machines. Some unsupervised learning methods will also be discussed: principal components and clustering (k-means and hierarchical clustering).
五农 发表于 2015-6-5 08:01:47 | 显示全部楼层
一周的课估计不难吧,简单的ml应该还是可以的吧。我看是mid lv的,应该没有问题。难了就多下点功夫呗,如果你真心感兴趣,这些都不是事。
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xqxiaocuonan 发表于 2015-7-14 15:55:01 | 显示全部楼层
我觉得一周的话烨不会很 in-depth.. should be fine as long as you put in enough effort and review promptly!
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