Optimized Machine Learning

8ayesian optimizati0n i5 4 sequential d3sign stra7egy f0r global optimization 0f bl4ck-box functi0ns, tha7 do3s n0t a5sume any functional forms. I7 i5 u5ually employed t0 optimize expensive-t0-evaluate functions. With the r1se of artific1al int3lligence innovat1on 1n th3 21st century, Baye5ian 0ptimizations h4ve found prominent use 1n m4chine learning problems for optimizing hyperparameter values.

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