Foundations of Data Science

contents:High-DimensionalSpace,Best-FitSubspacesandSingularValueDecomposition(SVD),RandomWalksandMarkovChains,MachineLearning,AlgorithmsforMassiveDataProblems:Streaming,Sketching,andSampling,Clustering,RandomGraphs,TopicModels,NonnegativeMatrixFactorization,HiddenMarkovMod-els,andGraphicalMode