The Silent Stack: What Every Machine Learning Engineer Must Understand About Production Feature…
中文摘要
大多数机器学习模型因受困于笔记本中的硬编码数据和未经测试的假设，而无法成功投入生产。
English Summary
Most machine learning models fail to reach production because they remain trapped in notebooks, hindered by hard-coded data and untested assumptions.
原文节选
Most machine learning models never ship. They die in notebooks, entangled in hard-coded data extracts and untested assumptions. The ones… Continue reading on Medium »