Explore fundamental algorithmic techniques and data structures for processing large-scale datasets, including MapReduce, streaming algorithms, and sketching techniques.
University CoursesMachine Learning
Introduction
This course provides an introduction to the design and analysis of algorithms for big data. It covers fundamental algorithmic techniques and data structures for processing large-scale datasets, including MapReduce, streaming algorithms, and sketching techniques.
Highlights
Covers fundamental algorithmic techniques and data structures for processing large-scale datasets
Includes topics such as MapReduce, streaming algorithms, and sketching techniques
Taught by faculty from the prestigious Indian Institute of Technology Madras
Recommendation
This course is recommended for students and professionals interested in learning about algorithms and data structures for big data processing. It provides a solid foundation in the design and analysis of efficient algorithms for large-scale data problems.
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