Machine Learning (ML)
In short
Instead of writing explicit rules for every scenario (“if this then that”), you show the system thousands of examples and let it figure out the rules on its own.
Machine Learning is the foundation for most modern AI approaches. The idea is simple: instead of programming every rule by hand, you provide data and let the model learn from it. This can be done through Supervised Learning (with answers) or Unsupervised Learning (without answers). A subfield of ML is Deep Learning, which handles more complex patterns at the cost of needing much more data.
Related
- AI - ML is a subfield of AI
- Deep Learning - subfield of ML for complex patterns
- Training - how ML models learn
- Data - the fuel for ML