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What kind of statistics knowledge would I need for natural language processing? [x-posted to r/statistics]

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I'm about to enroll for next quarter's classes, and I'm not sure which statistics classes would be the most relevant for a career in natural language processing (unfortunately, the stats course on pattern recognition and machine learning has been cancelled). Any advice? Thank you in advance.

EDIT: Can someone weigh in on which would be more helpful for NLP?

  • Intro to Mathematical Statistics (survey sampling, estimation, testing, data summary, one- and two-sample problems) or
  • Statistics for Engineers (sampling distributions, statistical estimation (including maximum likelihood estimation), statistical intervals, and hypothesis testing)
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