Google Developers Day US - Theorizing from Data

Name: Google Developers Day US - Theorizing from Data
Description: 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.

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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.

HN recommends it as the clear explanation of why Google's statistical, data-first approach works.

5 Hacker News mentions · 2007–2009

Topics

Machine learning & deep learning
Computer vision, speech & NLP
Data science & statistics

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