Why Is There Almost Free Lunch?
I'm reminded of Gödel's incompleteness theorem in mathematics by the "No Free Lunch" theorem in the field of machine learning.
These theorems are widely mentioned, but they are rarely thoroughly stated, and the implications for practical applications are frequently not evident. The "No Free Lunch" theorems put our faith in the effectiveness of general machine learning algorithms to the test, just as Gödel's theorem became a thorn in the early 20th-century mathematicians' conviction in a full and self-consistent formal system. However, the impact of these theorems on commonplace practical applications is frequently negligible, and most practitioners work without being constrained by these theoretical requirements.
I want to examine what the "No Free Lunch" theorem asserts and go into its implications in this post.
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