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Mining Massive Datasets

Stanford University
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Degree Type Self-paced on your time
Duration 7 Weeks
Country United States
Language English

Program 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.

Career Opportunities

Career information is not specified for this program. Contact the university for details about career prospects.

Program Curriculum

Detailed curriculum information is not available. Please check the university website or contact them directly for the most up-to-date course information.

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Admission Requirements

Detailed admission requirements are not specified. Common requirements may include:

  • Bachelor's degree or equivalent
  • Academic transcripts
  • Letters of recommendation
  • Statement of purpose
  • Language proficiency (e.g., TOEFL, IELTS)

For specific requirements, please contact the university directly.

Tuition & Financial Information

Tuition Fee

FREE-Add a Verified Certificate for $149 USD

About Stanford University

Stanford University logo

Stanford University

Stanford, United States

Stanford University is a distinguished institution of higher education committed to academic excellence, innovative research, and preparing students for leadership in their chosen fields. The...

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Application Information

  • Language English
  • Duration 7 Weeks
Apply Now

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