Jordan Rodu
Introduces various topics in machine learning, including regression, classification, resampling methods, linear model selection and regularization, tree-based methods, support vector machines, and unsupervised learning. The statistical software R is incorporated throughout. Prerequisite: STAT 3220, STAT 5120, or ECON 3720, and previous experience with R.
with Joseph Rodu:CMU出来的毕竟是CMU出来的,这个胖子有点东西的。statistical machine learning更偏理论了,但是上的很舒服。什么都take home爽的一匹
with Jordan Rodu 教授很萌但是很disorganized,丢三落四笨手笨脚的那种,而且内容不是很深入。 脑力:2.5颗星 体力:3颗星
with Jordan Rodu 教授人很好,不签到,难度适中,比较好拿分,作业量不大。"