🧠 AI Fundamentals

 AI Fundamentals 🧠

What is AI?

Artificial Intelligence (AI) is the simulation of human intelligence in machines that are programmed to think, learn, and problem-solve.

Types of AI

Narrow AI: Designed for specific tasks (e.g., voice assistants, image recognition)

General AI: Machines with human-like intelligence across a wide range of tasks (still theoretical)

Superintelligent AI: AI that surpasses human intelligence (future concept)

Key Concepts

Machine Learning (ML): Algorithms that improve automatically through experience.

Deep Learning: Subset of ML using neural networks with multiple layers.

Natural Language Processing (NLP): AI that understands and generates human language.

Computer Vision: AI that interprets visual data like images and videos.

Common Algorithms

Decision Trees

Neural Networks

Support Vector Machines

Clustering (e.g., K-Means)

Reinforcement Learning

Applications

Chatbots & Virtual Assistants

Autonomous Vehicles

Recommendation Systems

Fraud Detection

Healthcare Diagnostics

Ethics & Challenges

Bias in data

Privacy concerns

Transparency & explainability

Job displacement

AI safety

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