Experts and students generally view it as a scholarly "journey" rather than a practical manual.

The refers to the core mathematical, statistical, and computational principles that enable the extraction of insights from complex datasets. Key technical publications on this topic emphasize the transition from classical computer science—focused on programming and discrete algorithms—to a data-centric paradigm dealing with high-dimensional spaces and massive networks. Core Technical Publications (PDFs)

: SVD, Random Walks, Markov Chains, Clustering, and Massive Data Algorithms. Foundations of Data Science by Sai Srinivas Vellela et al. (2025):

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