James Stewart's Calculus Chapter 3 — a concise summary of absolute extrema, the Mean Value Theorem, derivatives and the shape of graphs, optimization, Newton's Method, and antiderivatives.
James Stewart's Calculus, Chapter 2 — a concise summary covering derivatives and rates of change, the definition of the derivative, basic differentiation rules, the chain rule, implicit differentiation, related rates, and linear approximation.
James Stewart's Calculus Chapter 1 — a concise summary covering the definition and types of functions, the concept of limits and their computation laws, continuity, and limits involving infinity.
A clear walkthrough of solving linear systems via elimination, computing Row Echelon Form (REF) and Reduced Row Echelon Form (RREF) through Gaussian elimination, and using Rank to determine the number of solutions.
A walkthrough of how systems of linear equations are used in machine learning — covering singular vs. non-singular matrices, linear independence/dependence, and determinant calculation.