Think of Machine Learning like feeding a kid - you have multiple options: Feeding Options: • By spoon: Traditional ML approach (hand-crafted features) • By hand: Direct process implementation • By someone else: Using pre-built solutions Sentiment Analysis Example: • Traditional ML: Extract features, train classifier • LLM: Use pre-trained models like GPT • N8N: Drag-and-drop sentiment analysis workflow So nothing to worry about - multiple paths lead to the same goal!