w*f
2 楼
一个简介。
http://maths.anu.edu.au/~steve/pdcn.pdf
R is very popular
http://maths.anu.edu.au/~steve/pdcn.pdf
R is very popular
j*p
3 楼
For Stats, The Elements of Statistical Learning, by Hastie et al.
For CS, Pattern Recognition and Machine Learning, by Bishop, and Stanford CS
229: Machine Learning, taught by Prof. Ng http://cs229.stanford.edu/ and http://see.stanford.edu/see/courseinfo.aspx?coll=348ca38a-3a6d-4052-937d-cb017338d7b1)
For introduction, Introduction to Data Mining, by Tan et al., and Stanford
STATS 202, http://www.stats202.com/
Yes, R is very popular for Data mining. You don't have to know multivariate
analysis, but it is good to know it.
For CS, Pattern Recognition and Machine Learning, by Bishop, and Stanford CS
229: Machine Learning, taught by Prof. Ng http://cs229.stanford.edu/ and http://see.stanford.edu/see/courseinfo.aspx?coll=348ca38a-3a6d-4052-937d-cb017338d7b1)
For introduction, Introduction to Data Mining, by Tan et al., and Stanford
STATS 202, http://www.stats202.com/
Yes, R is very popular for Data mining. You don't have to know multivariate
analysis, but it is good to know it.
Y*a
4 楼
学统计的没学过多元？还是你指的多元和我理解的不一样？
这和线性回归一样基本啊
data mining need some programming skills, 不管R还是SAS，
read data, clean data, format data, extract data, 都是正式分析数据之前的必要
步骤。
这和线性回归一样基本啊
data mining need some programming skills, 不管R还是SAS，
read data, clean data, format data, extract data, 都是正式分析数据之前的必要
步骤。
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