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billion by 2031, growing at a CAGR of 34.20%. Familiarity with cloudcomputing tools supports scalable model deployment. Concepts such as probability distributions, hypothesistesting , and Bayesian inference enable ML engineers to interpret results, quantify uncertainty, and improve model predictions.
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