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@.jrfjk: #الشعب_الصيني_ماله_حل😂😂 #مالي_خلق_احط_هاشتاقات #like #اكسبلور #503

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Friday 26 June 2026 16:03:06 GMT
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satrhilt
satrhilt :
الله يطول بأعمار الاحياء ❤️
2026-06-26 19:47:00
2
h6iill
Bassam :
الله يحفظهم ويخليهم لك ويرحم من توفى منهم ❤️
2026-06-26 19:58:07
1
h4to1
18 :
ونعم والله
2026-06-26 16:59:54
2
l3nrl
ٓ :
ونعععممممم يالشيخ
2026-06-26 17:20:47
1
as1_as
As :
♥️
2026-06-26 19:18:24
1
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دیمەنی ئەمشەوی یاریگای نەورۆز لە شەوانی ڕەمەزاندا 😍📸 #sulaymaniyah #سلێمانی #ناوشار #reel #fyp #یاریگاینەورۆز #زانکۆیپۆلیتەکنیکیسلێمانی #کوردستان #view #چوارچرا #کوردستان_سلێمانی_کەرکوک_هەولیر
دیمەنی ئەمشەوی یاریگای نەورۆز لە شەوانی ڕەمەزاندا 😍📸 #sulaymaniyah #سلێمانی #ناوشار #reel #fyp #یاریگاینەورۆز #زانکۆیپۆلیتەکنیکیسلێمانی #کوردستان #view #چوارچرا #کوردستان_سلێمانی_کەرکوک_هەولیر
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🏥 Patient Risk: Supervised Regression! 🩺 #shorts The Scenario: Predict hospital readmission probability as a continuous score (0–1). The Challenge: Continuous Output: Needs a numerical score, not a category. Accuracy: Must use historical labeled data. The Solution: Supervised Regression 🎯 Supervised: Learns from past patient records with known outcomes. Regression: Designed for continuous numerical values (e.g., 0.85 probability). Precision: Best for granular risk assessments. Why not others? Classification: Only handles discrete labels (Readmitted/Not Readmitted). Unsupervised: Good for finding patterns, not predicting specific targets. Exam Tip: Predicting a numerical/continuous score from labels? Choose Supervised Regression. 🚀 #AWS #AICertification #MachineLearning #AIPractitioner #Regression #HealthcareAI #DataScience #CloudAI #PredictiveAnalytics #KodeKloud
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Em áo này xinh #aokieunu #aoxinh #reviewthoitrang
Em áo này xinh #aokieunu #aoxinh #reviewthoitrang

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