Data, Feature, Label là gì? Train/Test trong Machine Learning

In this video, I will explain one of the most core concepts of Machine Learning: 👉 What are Data, Feature, Label? 👉 Why do we need to split Train/Test data? Main content: Understand what Data in Machine Learning includes How are Features and Labels different Visual examples: predicting exam scores, classifying spam emails, suggesting products What is Train/Test? Why not use all data for training? Common data splitting ratio (80% train - 20% test) In summary: Data = Feature + Label Train/Test = Practice vs Real Exam 🚀 This is extremely important knowledge to start learning AI/ML, especially for beginners. 👉 If you want to learn ML from basic to advanced, don't forget to subscribe to the channel to follow the series! #machinelearningcoban #tuhocml #tuhocmachinelearning #tuhocdatascience