[[["เข้าใจง่าย","easyToUnderstand","thumb-up"],["แก้ปัญหาของฉันได้","solvedMyProblem","thumb-up"],["อื่นๆ","otherUp","thumb-up"]],[["ไม่มีข้อมูลที่ฉันต้องการ","missingTheInformationINeed","thumb-down"],["ซับซ้อนเกินไป/มีหลายขั้นตอนมากเกินไป","tooComplicatedTooManySteps","thumb-down"],["ล้าสมัย","outOfDate","thumb-down"],["ปัญหาเกี่ยวกับการแปล","translationIssue","thumb-down"],["ตัวอย่าง/ปัญหาเกี่ยวกับโค้ด","samplesCodeIssue","thumb-down"],["อื่นๆ","otherDown","thumb-down"]],["อัปเดตล่าสุด 2025-07-27 UTC"],[[["This module explores the broader ecosystem of a production ML system, emphasizing that the model itself is only a small part of the overall system."],["You will learn to choose the appropriate training and inference paradigms (static or dynamic) based on your specific needs."],["The module covers key aspects of production ML systems, including testing, identifying potential flaws, and monitoring the system's components."],["As a prerequisite, familiarity with foundational machine learning concepts, including linear regression, data types, and overfitting, is assumed."],["Building upon previous modules, this content shifts focus to the practical aspects of deploying and maintaining ML models in real-world scenarios."]]],[]]
