ML is geared toward pattern recognition. A great example of this is your Facebook newsfeed and Netflix’s recommendation engine.
In this scenario, ML algorithms observe patterns and learn from them. When you deploy an ML program, it will keep learning and improving with each attempt.
If the interviewer prods you to provide more real-world examples, you can list the following:
Amazon product recommendations
- Fraud detection
- Search ranking
- Spam detection
- Spell correction