Must-Have Skills for a Machine Learning Engineer
Pickl AI
NOVEMBER 28, 2024
Concepts such as probability distributions, hypothesis testing , and Bayesian inference enable ML engineers to interpret results, quantify uncertainty, and improve model predictions. Unit testing ensures individual components of the model work as expected, while integration testing validates how those components function together.
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