Artificial Intelligence (AI)AI is the simulation of human intelligence in machines, allowing them to think, learn, and make decisions. It includes:
✔ Machine Learning (ML) – Algorithms that learn from data (e.g., recommendation systems, fraud detection).
✔ Deep Learning – Advanced ML using neural networks (e.g., image recognition, chatbots).
✔ Natural Language Processing (NLP) – AI understanding human language (e.g., Siri, Google Assistant).
✔ Computer Vision – AI analyzing images/videos (e.g., facial recognition, medical imaging).
Data ScienceData Science is the process of extracting insights & patterns from large amounts of data. It involves:
✔ Data Collection & Cleaning – Gathering and preparing data for analysis.
✔ Exploratory Data Analysis (EDA) – Understanding trends using statistics & visualization.
✔ Predictive Analytics – Using AI/ML to forecast outcomes (e.g., stock market trends).
✔ Big Data – Handling massive datasets with tools like Hadoop & Spark.
Applications of AI & Data Science
- Chatbots & Virtual Assistants
- Healthcare Diagnosis & Drug Discovery
- Self-Driving Cars
- Fraud Detection in Banking
- Personalized Recommendations (Netflix, Amazon)