Word by Word and Word by Doc.

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Destrezas que aprenderás

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

Reseñas

4.6 (1,363 calificaciones)
  • 5 stars
    72.85%
  • 4 stars
    21.05%
  • 3 stars
    3.88%
  • 2 stars
    1.32%
  • 1 star
    0.88%
OA

Aug 17, 2020

Awesome. The lecture are very exciting and detailed, though little hard and too straight forward sometimes, but Youtube helped in Regression models. Other then that, I was very informative and fun.

JM

Aug 02, 2020

Video lectures are short and concise. The basic ideas are well presented. Some references for the details of vector subspaces and spanning vectors would have filled out the mathematical framework.

De la lección
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.

Impartido por:

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    Younes Bensouda Mourri

    Course Instructor
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    Łukasz Kaiser

    Course Instructor
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    Eddy Shyu

    Senior Curriculum Developer

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