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This comprehensive guide shows full stack developers and system administrators how to use Bash to automate ML workflows—scheduling with cron, acquiring data via wget/curl, cleaning with awk/sed, and orchestrating Python models—while emphasizing portability, robust error handling, version control, and clear docs to streamline delivery and bridge ops with AI.