2031, Cross Validation and Hypothesis Testing

Must-Have Skills for a Machine Learning Engineer

Pickl AI

NOVEMBER 28, 2024

billion by 2031, growing at a CAGR of 34.20%. Concepts such as probability distributions, hypothesis testing , and Bayesian inference enable ML engineers to interpret results, quantify uncertainty, and improve model predictions. Incorporating automated testing ensures the model remains robust even as the codebase evolves.

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