Why There Kind of Is Free Lunch

The “No Free Lunch” theorem in the realm of machine learning reminds me of Gödel’s incompleteness theorem within the world of mathematics. While these theorems are frequently cited, they are seldom explained in depth, and the implications for real-world applications often remain unclear. Just as Gödel’s theorem became a thorn in the early 20th-century mathematicians’ belief in a complete and self-consistent formal system, the “No Free Lunch” theorems challenge our faith in the efficacy of general machine learning algorithms. Yet, these theorems’ impact on everyday practical applications can often be small, and most practitioners proceed unencumbered by these theoretical constraints. <a href="https://towardsdatascience.com/why-there-kind-of-is-free-lunch-56f3d3c4279f">Website</a>