AI (Aritificial Intelligence) & ML (Machine Learning)

Here are some important topics in AI and ML:

✦ Techniques in AI :

Includes rule-based systems, expert systems, search algorithms, knowledge representation, reasoning, planning, and natural language processing.

✦ Applications :

Healthcare (diagnostics, personalized medicine), autonomous vehicles, robotics, natural language processing (chatbots, language translation), finance (fraud detection, trading algorithms).

✦ Supervised Learning :

The model is trained on labeled data (input-output pairs), and the goal is to learn a mapping from inputs to outputs (e.g., classification, regression).

✦ Unsupervised Learning :

The model is given data without explicit labels (unlabeled data's or patterns) and must identify patterns or structures (e.g., clustering, dimensionality reduction).