No Free Lunch Theorem — Deep Dive + Problem: Reverse Bits

The No Free Lunch Theorem is a fundamental concept in Machine Learning that highlights the limitations of any learning algorithm. It states that no single algorithm can outperform all others on every possible problem, emphasizing the importance of problem-specific algorithm selection.