*Machine Learning (ML)*
1. Netflix Recommendation System: Uses ML to suggest movies based on user viewing history.
2. Amazon Product Recommendations: The ML algorithm suggests products based on browsing and purchasing behaviour.
*Artificial Intelligence (AI)*
1. Virtual Assistants (Siri, Alexa): AI-powered assistants perform tasks, answer questions, and control smart devices.
2. Self-Driving Cars (Tesla): The AI system navigates roads, recognizes obstacles, and makes decisions.
*Deep Learning (DL)*
1. Google Image Recognition: The DL algorithm identifies objects, people, and scenes in images.
2. Facebook Facial Recognition: DL-powered system tags friends in photos.
*Natural Language Processing (NLP)*
1. Chatbots (Customer Support): NLP-powered chatbots answer queries, provide information, and route complex issues.
2. Google Translate: The NLP algorithm translates languages in real-time.
*Neural Networks (NN)*
1. Handwritten Digit Recognition (MNIST Dataset): The NN algorithm recognizes handwritten digits.
2. Speech Recognition (Google Voice): NN-powered system recognizes spoken words.
*Robotics*
1. Industrial Robotics (Assembly Lines): Robots perform tasks like welding, assembly, and inspection.
2. Roomba (Autonomous Vacuum): The robot navigates and cleans spaces using sensors and AI.