Key Information
About the content
This class teaches algorithms for extracting models and other information from very large amounts of data. The emphasis is on techniques that are efficient and that scale well.
Syllabus
Week 1:
MapReduce
Link Analysis -- PageRank
Week 2:
Locality-Sensitive Hashing -- Basics + Applications
Distance Measures
Nearest Neighbors
Frequent Itemsets
Week 3:
Data Stream Mining
Analysis of Large Graphs
Week 4:
Recommender Systems
Dimensionality Reduction
Week 5:
Clustering
Computational Advertising
Week 6:
Support-Vector Machines
Decision Trees
MapReduce Algorithms
Week 7:
More About Link Analysis -- Topic-specific PageRank, Link Spam.
More About Locality-Sensitive Hashing
Instructors
- Anand Rajaraman
- Jure Leskovec - Computer Science
- Jeff Ullman
Content Designer
Platform
Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California.
Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.
