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文件名称:Optimization Methods for Large-Scale Machine Learning
文件大小:1.86MB
文件格式:PDF
更新时间:2021-02-02 03:07:09
Optimization Machine
清晰 彩色
When most people hear “Machine Learning,” they picture a robot: a dependable butler
or a deadly Terminator depending on who you ask. But Machine Learning is not
just a futuristic fantasy, it’s already here. In fact, it has been around for decades in
some specialized applications, such as Optical Character Recognition (OCR). But the
first ML application that really became mainstream, improving the lives of hundreds
of millions of people, took over the world back in the 1990s: it was the spam filter.
Not exactly a self-aware Skynet, but it does technically qualify as Machine Learning
(it has actually learned so well that you seldom need to flag an email as spam anymore).
It was followed by hundreds of ML applications that now quietly power hundreds
of products and features that you use regularly, from better recommendations
to voice search.
网友评论
- 大意了啊,没看预览是arXiv的,这种也要这么高的分。。。。文档还行
- 不错的分享,学习中