Word by Word and Word by Doc.

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강의 계획서 보기

배우게 될 기술

Machine Translation, Word Embeddings, Locality-Sensitive Hashing, Sentiment Analysis, Vector Space Models

검토

4.6(849개의 평가)
  • 5 stars
    69.72%
  • 4 stars
    24.38%
  • 3 stars
    4.12%
  • 2 stars
    1.06%
  • 1 star
    0.70%
PY

Jul 16, 2020

Very complete and in-depth for all learners who wish to know more about NLP! Loved that the course is data science newbie friendly too - they have optional labs for numpy, matrix manipulation etc

DZ

Aug 02, 2020

A really great course in NLP. They do a really good job balancing beginner and intermediate skill levels. This is a good introduction to NLP and machine learning in general. Really fun course!

수업에서
Vector Space Models
Vector space models capture semantic meaning and relationships between words. You'll learn how to create word vectors that capture dependencies between words, then visualize their relationships in two dimensions using PCA.

강사:

  • Younes Bensouda Mourri

    Younes Bensouda Mourri

    Course Instructor
  • Łukasz Kaiser

    Łukasz Kaiser

    Course Instructor
  • Eddy Shyu

    Eddy Shyu

    Senior Curriculum Developer

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