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🔥 5 دلیل که مدل ML شما در Production شکست می‌خوره:

🟡 دیتای واقعی با دیتای Training متفاوت بوده
🟡 مدل روی دیتای Train Overfit کرده
🟡 متغیرهای محیطی روی داده‌ها اثر گذاشتن
🟡 جریان پیش‌پردازش توی Production درست پیاده نشده
🟡 تیم ML Monitoring مناسبی روی مدل نداره

مدل قوی فقط اونیه که تو محیط واقعی، همچنان خوب جواب می‌ده!


🔵 @DataScience_Function
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🔥 5 دلیل که مدل ML شما در Production شکست می‌خوره:

🟡 دیتای واقعی با دیتای Training متفاوت بوده
🟡 مدل روی دیتای Train Overfit کرده
🟡 متغیرهای محیطی روی داده‌ها اثر گذاشتن
🟡 جریان پیش‌پردازش توی Production درست پیاده نشده
🟡 تیم ML Monitoring مناسبی روی مدل نداره

مدل قوی فقط اونیه که تو محیط واقعی، همچنان خوب جواب می‌ده!


🔵 @DataScience_Function

BY کالج علم داده | Data College


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