Visualization and PCA

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Compétences que vous apprendrez

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

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4.6 (803 évaluations)
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PS

Jul 09, 2020

Fun, interesting and useful course. A couple of road bumps in the assignments made me waste a lot of time, but the forums and Slack channels were lifesavers in those situations.

AD

Jul 30, 2020

This course was very informative ,got to know about knn's,hash tables perfectly ,also hope the difficulty of the week 4's programming assignment will be slightly reduced

À partir de la leçon
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.

Enseigné par

  • 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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