PickVidsGoogle Developers Day US - Theorizing from Data
推荐理由
You should definitely watch it if you haven't seen it before.
强烈推荐henning · 原文
说明
这是2007年由GoogleDeveloperDay发布的一部演讲，主题归在Machine learning & deep learning。它讲的是data-driven machine learning这一支里的具体问题，而不是把整个领域扫一遍。适合已经能看懂基本术语、想继续往下走的人。内容上可以概括成：Peter Norvig's 2007 Google talk on theorizing from data, covering what huge datasets can do for language understanding, translation, information extraction and inference. It argues that more data often beats cleverer models.这些读者给出的理由，核心是：HN recommends it as the clear explanation of why Google's statistical, data-first approach works.讲法不绑某一条新闻，过几年仍然可以当材料看。从2007年到2009年，有3位不同的读者在3个不同月份把它推荐出来，其中明确叫别人去看的有1次。适合一次性看完。讲者把一个判断讲透，演示是在给这个判断配例子。如果已经会了基本定义，就把注意力放在它怎么把data-driven machine learning变成能跟着复述的例子。
视频信息
- 频道
- GoogleDeveloperDay
- 时长
- 52 分 52 秒
- 发布年份
- 2007
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