Advanced Data Mining Techniques
Master advanced algorithms and systems for mining massive datasets, including MapReduce, PageRank, and machine learning.
Course Cost
₹ 12,675
Advanced
Skill Level
7 Weeks
Self-paced lessons
This comprehensive course, based on the textbook "Mining of Massive Datasets," covers advanced techniques for analyzing and processing large-scale data. Students learn essential algorithms and systems including MapReduce, locality-sensitive hashing, and PageRank. The curriculum encompasses data streams, frequent itemset analysis, clustering, computational advertising, recommendation systems, social network analysis, and dimensionality reduction. Taught by the textbook's authors, the course closely follows Stanford's CS246 content.
What you'll learn
Master MapReduce systems and algorithmic implementations
Understand locality-sensitive hashing and stream processing
Apply PageRank and web-link analysis techniques
Develop skills in clustering and frequent itemset analysis
Implement recommendation systems and social network analytics
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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Module Description
This advanced course covers comprehensive techniques for mining massive datasets, based on Stanford's CS246 curriculum. The course material spans fundamental algorithms like MapReduce and PageRank to advanced topics in machine learning and social network analysis. Students learn practical applications in computational advertising, recommendation systems, and data stream processing, while mastering essential concepts in clustering and dimensionality reduction.
Fee Structure
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Frequently asked Questions
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