Unified Mathematical Model

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Получаемые навыки

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

Рецензии

4.5 (оценок: 433)
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    269 ratings
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    125 ratings
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    29 ratings
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    6 ratings
  • 1 star
    4 ratings
IP

Sep 19, 2016

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.

PD

Jun 25, 2017

Great, thorough introduction with tracks for both Java programmers and non-programmers.

Из урока
Course Wrap-up
We close this course with a set of mathematical notation that will be helpful as we move forward into a wider range of recommender systems (in later courses in this specialization).

Преподаватели

  • Joseph A Konstan

    Joseph A Konstan

    Distinguished McKnight Professor and Distinguished University Teaching Professor
  • Michael D. Ekstrand

    Michael D. Ekstrand

    Assistant Professor

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