The Newton-Raphson method is an iterative technique used to find approximate roots of a real-valued function efficiently, particularly excelling in convergence for small problems. The method requires knowledge of the function's derivative and an initial guess but can struggle with poor global convergence properties and is sensitive to starting points. Despite some disadvantages, it offers rapid convergence and can significantly improve estimates found through other methods.