AI vs. ML vs. Deep Learning

A Practical Guide With Python AI is often treated like a single solution. In practice, it is a category label that hides three different toolboxes. If you confuse them, you usually end up building the wrong system, choosing the wrong success metric, and over-engineering the data pipeline. ai_ml_dl_boundaries.png Although AI sounds like one thing, it is really three different toolboxes: AI is the goal: make a system act intelligently. ML is one way to reach that goal: learn patterns from data. Deep Learning is one specific style of ML: learn patterns using multi-layer neural networks.