approximate inference

Approximate inference is a method used in statistics and machine learning to estimate the likely outcomes or states of a complex system when exact calculations are difficult or impossible. Instead of precise answers, it provides good enough estimates by using algorithms that make educated guesses based on available data and models. This approach is essential for managing real-world problems with uncertainty, allowing us to make informed decisions even when perfect information isn't feasible. Think of it as using reasonable shortcuts to understand and work with complicated information efficiently.