John Myles White,机器学习专家,拥有丰富的数据分析与处理工作经验。目前主要从理论和实验的角度来研究人类如何做出决定,同时还是几个流行的 R 语言程序包的主要维护者,包括 ProjectTemplate 和 log4r。拥有普林斯顿大学哲学系博士学位,曾为多家技术杂志撰稿,发表过许多关于机器学习的论文,并在众多国际会议上发表演讲。
# Simply returns the full text of a given email message
# 获取邮件全部(每行)信息
msg.full <- function(path)
{
con <- file(path, open = "rt", encoding = "latin1")
msg <- readLines(con)
close(con)
return(msg)
}
# Retuns the email address of the sender for a given
# email message
# 获得邮件寄信人信息
get.from <- function(msg.vec)
{
from <- msg.vec[grepl("From: ", msg.vec)]
from <- strsplit(from, '[":<> ]')[[1]]
from <- from[which(from != "" & from != " ")]
return(from[grepl("@", from)][1])
}
# Retuns the subject string for a given email message
# 获得邮件主题
get.subject <- function(msg.vec)
{
subj <- msg.vec[grepl("Subject: ", msg.vec)]
if(length(subj) > 0)
{
return(strsplit(subj, "Subject: ")[[1]][2])
}
else
{
return("")
}
}
# Similar to the function from Chapter 3, this re... (查看原文)
Now that storage and collection technologies are cheaper and more precise, methods for extracting relevant information from large datasets is within the reach any experienced programmer willing to crunch data. With this book, you'll learn machine learning a...
(展开)
0 有用 all the fish 2015-04-06 10:11:11
。。。
0 有用 砂之器 2018-04-29 21:49:06
2018-10
0 有用 豆友1907570 2013-06-07 22:22:54
很好!
4 有用 Fancy 2014-09-16 13:05:45
<<Machine Learning For Hackers>> 适合初学者实践。特别最后一章的Twitter关系网可视化,酷炫!
6 有用 飞林沙 2013-12-19 16:35:14
写给统计学家的机器学习书,写给MLer的统计分析书,写给R语言初学者的实践进阶书,写给开发工程师的算法入门书。这本书把所有的公式都忽略掉了,比大名鼎鼎的集体智慧编程还要夸张和简单....