In Quick Guide to Data Science: MLOps Made Simple, you will learn, in a clear, practical, and step-by-step way, how the discipline works that turns machine learning models into reliable, monitorable, and sustainable production systems. Ideal for beginners, analysts, data scientists, engineers, managers, consultants, and professionals who want to better understand the ML operational lifecycle, this book explains what MLOps is, why it matters so much, how versioning, reproducibility, deployment, serving, monitoring, drift, pipelines, automation, governance, and cross-team collaboration work—always following the “10 minutes a day” philosophy.

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