Material Detail

*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.

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