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 (3,644 calificaciones)

  • 5 stars
    73,18 %
  • 4 stars
    20 %
  • 3 stars
    4,61 %
  • 2 stars
    1,26 %
  • 1 star
    0,93 %

HA

8 de ago. de 2020

one of the Best course that i had attented in deeplearnig.ai the last week assignment was

to good to solve which cover up all which we studied in entire course waiting for course 4 of nlp eagerly

OA

16 de ago. de 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.

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

    Instructor

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    Łukasz Kaiser

    Instructor

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    Eddy Shyu

    Curriculum Architect

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