Machine Learning, Decision Tree, Random Forest, Adaboost, Gradient Boosting.
✧ Insensitive to irrelevant features ✧ Good performance with high-dimensional data ❌ Assumes independence of features Deep Learning ✅ Superb performance with unstructured data (images, video, audio, text) ❌ (Very) long training time ✧ Many hyperparameters ✧ Prone to overfitting Moshe Sipper’s