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Mining Massive Datasets

By Stanford University

  • Overview
  1. MoocLab
    COURSE DESCRIPTION
    The course is based on the text Mining of Massive Datasets by Jure Leskovec, Anand Rajaraman, and Jeff Ullman, who by coincidence are also the instructors for the course. The book is published by Cambridge Univ. Press, but by arrangement with the publisher, you can download a free copy Here. The material in this on-ine course closely matches the content of the Stanford course CS246.

    The major topics covered include: MapReduce systems and algorithms, Locality-sensitive hashing, Algorithms for data streams, PageRank and Web-link analysis, Frequent itemset analysis, Clustering, Computational advertising, Recommendation systems, Social-network graphs, Dimensionality reduction, and Machine-learning algorithms.

    Length: 7 Weeks
    Effort: 10 hours per week
    Price: FREE
    Provider: Stanford University
    Subject: Computer Science
    Level: Advanced
    Languages: English
    Instructors: Jure Leskovec, Anand Rajaraman, Jeff Ullman

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