Peter Norvig - The Unreasonable Effectiveness of Data
推荐理由
Norvig does an especially great job in making you truly appreciate the seismic impact that the availability of massive quantities of data can have
说明
这是2011年由UBC Computer Science发布的一部课堂讲座,主题归在Computer vision, speech & NLP。它讲的是data-driven language models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 UBC distinguished lecture on how massive amounts of simple data, such as for language modeling, can yield understanding that hand-built models could not.这些读者给出的理由,核心是:Recommended as a favorite tech talk showing how huge data availability changes how problems are approached.讲法不绑某一条新闻,过几年仍然可以当材料看。从2012年到2026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。节奏接近上课,可以暂停做笔记。它假设你愿意跟着一条推导走完。如果已经会了基本定义,就把注意力放在它怎么把data-driven language models变成能跟着复述的例子。
视频信息
- 频道
- UBC Computer Science
- 时长
- 1 小时 2 分
- 发布年份
- 2011
同主题更多
- Bay Area Vision Meeting: Unsupervised Feature Learning and Deep Learning
- "Voice Driven Development: Who needs a keyboard anyway?" by Emily Shea
- Andrej Karpathy - AI for Full-Self Driving at Tesla
- Tensorflow and deep learning - without a PhD by Martin Görner
- JPEG DCT, Discrete Cosine Transform (JPEG Pt2)- Computerphile
- Fourier Optics used for Optical Pattern Recognition