Foundations of Data Science II

Foundations of Data Science II

Explore advanced concepts in data science through a comprehensive lecture covering Singular Value Decomposition (SVD) applications, Gaussian mixtures, and stochastic modeling alternatives. Delve into numerical algorithms, randomized approaches, and low-rank approximations with additive error. Gain insights on data handling techniques and pass-efficient models. Conclude with an introduction to Markov Chains, examining conductance and rapid mixing in symmetric Markov Chains. Learn from Microsoft Research India's Ravi Kannan as he presents key topics from the Foundations of Data Science Boot Camp.