Mining Massive Datasets
Offered By: Stanford University via edX
Course Description
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.
Taught by
Jure Leskovec, Anand Rajaraman, Jeff Ullman and
Tags
Related Courses
Big Data Analytics in HealthcareGeorgia Institute of Technology via Udacity The Caltech-JPL Summer School on Big Data Analytics
California Institute of Technology via Coursera Big Data Analytics for Healthcare
Georgia Institute of Technology via Coursera Data Lakes for Big Data
EdCast Data Manipulation at Scale: Systems and Algorithms
University of Washington via Coursera