Mining Massive Datasets

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Free Online Course: Mining Massive Datasets provided by edX is a comprehensive online course, which lasts for 7 weeks long, 5-10 hours a week. The course is taught in English and is free of charge. Mining Massive Datasets is taught by Jure Leskovec, Anand Rajaraman, Jeff Ullman and.

Overview
  • 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-line 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.

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