Non-Personalized and Stereotype-Based Recommenders

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Получаемые навыки

Summary Statistics, Term Frequency Inverse Document Frequency (TF-IDF), Microsoft Excel, Recommender Systems

Рецензии

4.5 (оценок: 570)
  • 5 stars
    61.40%
  • 4 stars
    28.94%
  • 3 stars
    6.31%
  • 2 stars
    1.92%
  • 1 star
    1.40%
IP
18 сент. 2016 г.

it's a fantastic course that gives you a good idea of what the objectives of recommender systems are and some intuition on the way how it can be accomplished.

PS
10 дек. 2016 г.

As a software engineer with computer science background I found that course enhancing my knowledge. I'm going to continue the specialization.

Из урока
Non-Personalized and Stereotype-Based Recommenders

Преподаватели

  • Placeholder

    Joseph A Konstan

    Distinguished McKnight Professor and Distinguished University Teaching Professor
  • Placeholder

    Michael D. Ekstrand

    Assistant Professor

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