11 Overfitting 75min

Summary

Machine Learning From Data, Rensselaer Fall 2020. Professor Malik Magdon-Ismail talks about Miro notes: miro.com/app/board/uXjVIByBwVI=/?share_link_id=231943841648 Colab code: ... Why do some AI models score 100% on training data but completely fail in the real world? Discover the core trap of machine ... Why can a model fit its training data perfectly and still make poor predictions? In Lesson 24 of our AI and Machine Learning ... Optimizing Your Decision Tree: Mastering Model Size! Welcome back to Kaggle's Intro to Machine Learning! In the previous ... Two models, the same nine noisy training points, and very different predictions on unseen data. See why a perfect training score ... A student learns last year's test by heart, gets a perfect score at home, and then fails the real test. Computers can make the same ... In this Coding TensorFlow episode, Magnus gives us an overview of a common machine learning problem, How can a Machine Learning model achieve perfect accuracy on its training data but completely fail when it encounters new data ...