Machine learning and natural language processing

2. Quick and dirty intro to ML

Lectures slides (all materials, refs, etc. provided inline):

Pa164 lecture 02
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A python notebook illustrating some of the key notions from the lecture:

QUESTIONS AND TASKS:

  • Text representations. When the ordering of words (does not) matter-s. Mining web

  • Main text mining tasks

  • ML for disambiguation

  • CNN for NLP