Data Validation in Machine Learning Explained in 60 Seconds | Checking Data Before Training & Infere

Data Validation in Machine Learning explained in under 60 seconds. Learn what it is, why it matters, and how it protects your models from bad data before training or inference. What you'll learn: - The plain-English meaning of data validation in ML - An intuitive mental model for thinking about data checks - A concrete real-world example of data validation in production - How it connects to concepts like data leakage and distribution shift - Why every ML pipeline should include data validation steps Watch related 1MinuteGlossary videos: - Data Leakage in Machine Learning Explained: https://www.youtube.com/watch?v=jGOsQ5lRDdk - Data Distribution Shift in Machine Learning Explained: https://www.youtube.com/watch?v=sRWmnuFdBuA - Feature Engineering in Machine Learning Explained: https://www.youtube.com/watch?v=nqXIre7Wulc - Cross Validation in Machine Learning Explained: https://www.youtube.com/watch?v=sfwef8rlvIA Chapters: 00:00 Intro 00:11 Plain-English Definition 00:33 Simple Mental Model 00:57 Practical Example 01:22 Why It Matters & Memory Lock #DataValidation #MachineLearningBasics #MlDataQuality #MlTrainingPipeline #AiReliability Watch Next: https://www.youtube.com/watch?v=jGOsQ5lRDdk Check out the other playlists: https://www.youtube.com/playlist?list=PLg8mVVQENKnYcEb6yyd3uGPlektphmUZS https://www.youtube.com/playlist?list=PLg8mVVQENKnZ_J8hvdUq8MiD01Aih0Ff6 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/@1MinuteGlossary?sub_confirmation=1 ------------------- Thank you for watching! If you found this video helpful, please give it a thumbs up and share it with your friends. data validation machine learning ml data quality training data checks inference data checks ml pipeline ai reliability data leakage distribution shift feature engineering ml best practices ml for beginners ai glossary 1MinuteGlossary data consistency ml