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Mining Massive Datasets

Stanford University

β€’

10.0

β€’

10.0

5 Reviews

United States

The Non-degree in Mining Massive Datasets at Stanford University is a program for international students taught in English.

πŸ“š About the Program

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.

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.

πŸ’° Fees

Application Fee

$0 USD

$0 USD

Tuition Fee

$120 USD

$120 USD

per year

βœ… Entry Requirements

The minimum age is 18 and the maximum age is 50.

English Fluent is required.

Minimum education level Bachelor's degree

All students from all countries are eligible to apply to this program.

πŸ“¬ Admissions Process


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