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Forget about having an identity crisis and get some identity capital.
In machine learning, the trade-off between bias and variance is crucial for achieving good generalization.
"We need to think of software not just as code, but as a mathematical object that can be analyzed and verified."
The past is always carried into the present by small things.
The road to success is always under construction.