Artificial Intelligence (AI) and Machine Learning (ML) are closely related fields that focus on enabling computers to perform tasks that typically require human intelligence. AI encompasses a broad range of techniques, including rule-based systems, natural language processing, and robotics, while ML is a subset of AI that uses algorithms to learn patterns from data and make predictions.
Key Concepts:
- Supervised Learning – Training models with labeled data for classification and regression tasks.
- Unsupervised Learning – Identifying patterns in unlabeled data using clustering and association techniques.
- Deep Learning – Using neural networks to process complex data like images and speech.
- AI Applications – Chatbots, recommendation systems, autonomous vehicles, and fraud detection.