Learning Path

Probability Foundations for Randomized Algorithms → Applications of Streaming Algorithms

This advanced learning path equips data science students with the theory and practice of streaming algorithms. It covers probabilistic data structures like Bloom filters and Count-Min Sketch, sampling techniques such as reservoir sampling, and the underlying probability concepts, enabling efficient processing of massive data streams.