Worked solutions to all 373 end-of-chapter exercises in Foundations of Data Science by Avrim Blum, John Hopcroft and Ravindran Kannan — high-dimensional geometry and concentration, the SVD and best-fit subspaces, random walks and Markov chains, machine learning theory, streaming and sketching, clustering, random graphs, topic models and NMF, wavelets, and the mathematical appendix.