Mining Massive Datasets
Course Features
Duration
7 weeks
Delivery Method
Online
Available on
Limited Access
Accessibility
Mobile, Desktop, Laptop
Language
English
Subtitles
English
Level
Advanced
Effort
10 hours per week
Teaching Type
Self Paced
Course Description
Course Overview
International Faculty
Post Course Interactions
Instructor-Moderated Discussions
Skills You Will Gain
Prerequisites/Requirements
At a minimum, you should have had courses in Data structures, Algorithms, Database systems, Linear algebra, Multivariable calculus, and Statistics.
The course is intended for graduate students and advanced undergraduates in Computer Science
What You Will Learn
Algorithms for data streams
Clustering
Computational advertising
Dimensionality reduction
Frequent itemset analysis
Locality-sensitive hashing
Machine-learning algorithms
MapReduce systems and algorithms
PageRank and Web-link analysis
Recommendation systems
Social-network graphs
Course Instructors