Real-Time Data Drift Detection in Production скачать в хорошем качестве

Real-Time Data Drift Detection in Production

🔍 Real-Time Data Drift Detection in Production! 🚀 Are your machine learning models losing accuracy over time? This happens due to data drift, where incoming data shifts away from the training distribution. In this video, we’ll break down everything you need to know about detecting and handling data drift in real-time production environments! 📌 What You’ll Learn in This Video: ✅ What is Data Drift and why it affects ML models? ✅ The types of data drift – Feature Drift, Concept Drift & Label Drift ✅ How to detect drift using PSI, KL Divergence & KS Test ✅ Live Python Implementation for real-time drift monitoring ✅ Tools like Evidently AI, MLflow, and Kafka for drift detection ✅ How to automate drift alerts and retrain models dynamically 🔥 Whether you’re a Data Scientist, MLOps Engineer, or AI enthusiast, this video will help you keep your models accurate and reliable! 💡 Don’t forget to LIKE, COMMENT, and SUBSCRIBE for more cutting-edge AI and Machine Learning content! 🚀 #DataDrift #MachineLearning #MLOps #DataScience #ModelMonitoring #AI #EvidentlyAI #MLflow #ProductionAI