Optimization BasicsIntroduces optimization basics, covering logistic regression, derivatives, convex functions, gradient descent, and second-order methods.
Gradient and Taylor FormulaIntroduces gradient, Laplacian, Taylor formula, polynomial approximations, extrema, and Taylor series expansions in multiple variables.