"Designing Data-Intensive Applications" — Martin Kleppmann (PDF excerpts / whitepapers)
: Visualizing patterns, identifying outliers, and measuring data similarity. foundations of data science technical publications pdf
Here are the definitive texts. Disclaimer: These links point to official, author-hosted or university-hosted PDFs where the authors have explicitly released the content for educational use. Understanding data behavior in high dimensions, which is
Understanding data behavior in high dimensions, which is often counterintuitive compared to 2D or 3D space. Singular Value Decomposition (SVD): It is pure gold for understanding gradient descent,
Stephen Boyd, Lieven Vandenberghe Why you need it: Almost every Machine Learning problem is an optimization problem (minimizing loss functions). This book teaches you how to solve those problems efficiently. It is pure gold for understanding gradient descent, SVM solvers, and regularization paths. Technical Level: Very Advanced (Mathematical Engineering) PDF Access: Completely free and legal. The authors uploaded the final draft PDF to Stanford's servers.