Top AI Interview Questions

Looking for a job in the AI field? Here are the most common questions you might be asked, explained in a way that's easy to remember.

1. What is the difference between AI, ML, and DL?

AI is the broad field of making machines smart. Machine Learning (ML) is a subset of AI that uses data to learn. Deep Learning (DL) is a subset of ML that uses neural networks with many layers (like the human brain).

2. What is Overfitting?

Overfitting happens when a model learns the training data too well, including the noise. This means it performs great on training data but poorly on new, unseen data.

3. Explain Supervised vs. Unsupervised Learning.

Supervised uses labeled data (input + output). Unsupervised uses unlabeled data (input only) to find hidden structures.

4. What is a Neural Network?

A computer system modeled on the human brain, designed to recognize patterns and solve complex problems.

Conclusion

Stay consistent with your learning and practice explaining these concepts simply. Good luck with your interview!