Data Distribution Shift in Machine Learning Explained in 60 Seconds | What is Distribution Shift? скачать в хорошем качестве

Data Distribution Shift in Machine Learning Explained in 60 Seconds | What is Distribution Shift?

Data Distribution Shift occurs when the statistical properties of data change between training and deployment, causing model performance to degrade. Learn what distribution shift is, why it matters, and how it affects real-world AI systems. What You'll Learn: • What data distribution shift means • How it differs from training data • Real-world examples of distribution shift • Why it matters for AI reliability • Connection to model evaluation Related Videos: • Overfitting in Machine Learning:    • Overfitting in Machine Learning Explained ...   • Cross Validation Explained:    • Cross Validation in Machine Learning Expla...   • Bias and Variance:    • Bias and Variance in Machine Learning Expl...   • Transfer Learning:    • Transfer Learning Explained in 60 Seconds ...   #DataDistributionShift #MachineLearning #AIEducation #1MinuteGlossary Chapters: 00:00 Intro 00:09 Definition 00:22 Mental Model 00:41 Real-World Example 01:01 Why It Matters #DataDistributionShift #MachineLearningReliability #ModelDrift #AiEvaluation #DistributionShiftExplained Watch Next:    • Overfitting in Machine Learning Explained ...   Check out the other playlists:    • AI Evaluation & Reliability      • Core Machine Learning Concepts   Please post your questions below in the Comments -- I'll be happy to respond a.s.a.p. ------------------- Subscribe to get notified of our new videos: https://www.youtube.com/@1MinuteGloss... -------------------