Machine Learning (ML) is a branch of artificial intelligence that enables systems to learn patterns from data and improve performance without being explicitly programmed.
It powers recommendations, fraud detection, image recognition and much more.
Supervised learning trains on labeled data to make predictions (classification, regression). Unsupervised learning finds structure in unlabeled data (clustering, dimensionality reduction). Reinforcement learning learns through rewards and penalties from interaction with an environment.
Deep learning, using multi-layer neural networks, has driven major advances in vision and language tasks.
| Aspect | Details |
|---|---|
| Branch | Information Technology (IT) |
| Topic Type | Technical Seminar / Project Report |
| Difficulty | Intermediate – Advanced |
| Best For | Final-year BTech seminars & presentations |
| Includes | Explanation, key points, FAQs & references |