Visualization and PCA

video-placeholder
Loading...
강의 계획서 보기

배우게 될 기술

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

검토

4.6개(2,988개 평가)

  • 5 stars
    73.62%
  • 4 stars
    20.04%
  • 3 stars
    4.28%
  • 2 stars
    1.10%
  • 1 star
    0.93%

HA

2020년 8월 8일

Filled StarFilled StarFilled StarFilled StarFilled Star

one of the Best course that i had attented in deeplearnig.ai the last week assignment was\n\nto good to solve which cover up all which we studied in entire course waiting for course 4 of nlp eagerly

OA

2020년 8월 16일

Filled StarFilled StarFilled StarFilled StarFilled Star

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.

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:

  • Placeholder

    Younes Bensouda Mourri

    Instructor

  • Placeholder

    Łukasz Kaiser

    Instructor

  • Placeholder

    Eddy Shyu

    Senior Curriculum Developer

Coursera 카탈로그 살펴보기

무료로 참여해 맞춤화된 추천, 업데이트 및 제안을 받아보세요.