Cosine Similarity: Intuition

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Получаемые навыки

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

Рецензии

4.6 (оценок: 1,844)
  • 5 stars
    73.37%
  • 4 stars
    20.87%
  • 3 stars
    3.79%
  • 2 stars
    1.13%
  • 1 star
    0.81%
OA
16 авг. 2020 г.

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
1 авг. 2020 г.

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.

Из урока
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.

Преподаватели

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    Younes Bensouda Mourri

    Instructor
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    Łukasz Kaiser

    Instructor
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    Eddy Shyu

    Senior Curriculum Developer

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