Ai basics
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The document discusses artificial intelligence and machine learning. It defines AI as how computers mimic human brains, and provides examples like Google Translate, Alexa, and Siri. Machine learning is described as a subset of AI where machines learn from data, and can be supervised by providing examples, unsupervised with no information given, or reinforcement using a reward system. Deep learning is presented as a sophisticated version of machine learning.
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Ai basics
- 1. AI Club
- 3. What is AI? • How computers mimic what human brains do. AI
- 4. What is AI? • How computers mimic what human brains do. • Examples - Google translate, Alexa and Siri etc. AI
- 5. What is Machine Learning ? AI • Machine Learning • How machines learn from data • It is a subset of AI Machine Learning
- 6. Machine learning Supervised Provide a lot of examples so that the they understand the concept for future reference Types of Machine Learning
- 7. Machine learning Unsupervise d No information is given but by observing, the AI would learn on its own Machine learning Supervised Provide a lot of examples so that the they understand the concept for future reference Types of Machine Learning
- 8. Machine learning Unsupervise d No information is given but by observing, the AI would learn on its own Machine learning Reinforcemen t A reward system for teaching the AI Machine learning Supervised Provide a lot of examples so that the they understand the concept for future reference Types of Machine Learning
- 9. What is Deep Learning? Artificial Intelligence Machine Learning Deep Learning • A sophisticated cutting edge version of Machine Learning