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#1237 overall

Mining Massive Datasets

Coursera

1 recommender · 1 thread · recommended in 1 year, 2014 · score 0.7

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A Stanford course on algorithms and techniques for mining very large datasets, covering topics such as PageRank, Jaccard similarity, and other methods for working with data at scale. It was offered on Coursera and taught by Anand Rajaraman, Jure Leskovec, and Jeff Ullman.

One commenter recommends it as a way to learn the same concepts (PageRank, Jaccard similarity) covered in a blog post on Flipboard's summarization approach, taught by Stanford faculty.

Machine Learning & AIintermediatefreevideo lectures#big data#pagerank#jaccard similarity#stanford#leskovec#ullman

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What commenters said (1)

  1. Recommendskrat0sprakhar2014in “Flipboard's Approach to Automatic Summarization”

    For those of you interested in learning more, do sign-up for the Mining Massive DataSets[0] course on Coursera. It started last week and we covered the exact same concepts i.e. PageRank, Jaccard Similarity etc. talked about in this blogpost all taught by Stanford's esteemed faculty - Anand Rajaraman, Jure Leskovic & Jeff Ullman.

    [0] - https://www.coursera.org/course/mmds

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