BS COURSE
Algorithms
in Data Science.
Understand the probability, linear algebra, and algorithms that make large datasets manageable.
Course weeks
2 weeks availableWEEK 1
Open week →02Probability bounds and random projections
Markov, Chebyshev, Hoeffding, the union bound, and the foundations of Johnson–Lindenstrauss dimensionality reduction.
Prerequisite toolkit · 9 lessons · 14 graphs · Worked examples and checksWEEK 2
Open week →Completing JL: probability and geometry
Chernoff bounds, the guarantee for all point pairs, and the SVD interpretation of random projection.
Recap and toolkit · 3 lessons · 10 graphs · Complete proof and revision