机器学习原来可以如此简单

开头先讲个笑话,某女:“你能让这个论坛的人都吵起来,我就跟你约会。”,某程序猿:“PHP是最好的语言!”,某论坛炸锅了,各种吵架。某女:“服了你了,我们走吧。”,某程序猿:“今天不行,我一定要说服他们,PHP必须是最好的语言。”

相信很多程序猿心目中都有最好的语言,我的心目中最好的语言是Python,其实我接触Python的时间并不长,但有点一见钟情、相见恨晚的感觉。

几个月前某朋友发招聘广告年薪百万招机器学习高手,感觉自己有点落伍了,现在都大数据时代了,总得学点大数据技术和机器学习吧,数据是基础,哪里搞数据呢?互联网!就想网上爬点数据,用什么写爬虫呢?朋友给我推荐了Python,我一查编程语言排名,Python稳居前五,这么主流的语言我怎么能不会呢,一个字:学!现学现用,花了2天连学带用写了一个北大未名BBS的爬虫,爬数据也爬了2,3天,就算入门了。

数据有了,该学点机器学习技能了,某知名问答网站有人推荐了《集体智慧编程》,先看了一下书评,“太棒了!对于初学这些算法的开发者而言,我想不出有比这本书更好的选择了”,“这本书非常成功地将机器学习算法这一复杂的议题拆分成了一个个既实用又易懂的例子”……就她了!

一口气读了下来,真的非常棒。本书从最基础的什么时候机器学习和机器学习可以干什么开始,由浅入深,先后介绍了相似度判断技术、以此为基础分类技术、搜索引擎核心技术(爬虫、索引、查询引擎、PageRank算法等)、寻找最优解的智能优化技术、贝叶斯过滤技术、实现预测和决策建模的决策树技术、社交网络的信息匹配技术,最后到机器学习最前沿的学术领域探讨。每种技术都结合实际互联网应用场景,通过获取、收集并分析用户的数据和反馈信息,以便创造新的用户价值和商业价值,以一个个例子的形式并用Python实现了核心代码,包括关联产品推荐引擎、搜索引擎、垃圾邮件过滤、住房价格预测、股票价格预测等。

读完之后收益匪浅,《集体智慧编程》是一本机器学习入门的好书,《集体智慧编程》是一本机器学习入门的好书,《集体智慧编程》是一本机器学习入门的好书,重要的事情说三遍!

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