School Revise · Class 10 Artificial Intelligence · Unit 1
Code 417, Class 10. AI is machines that act smartly. Here we learn what AI is, how it relates to machine learning, and its domains.
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Artificial Intelligence (AI) is making machines do tasks that usually need human intelligence. A machine using stored rules only is not AI; a machine that learns and improves from data is AI.
Machine Learning (ML) is a part of AI where the machine learns from data. Deep Learning (DL) is a part of ML that uses neural networks with many layers. So DL is inside ML, which is inside AI.
AI works in three domains: Data (learning from numbers), Computer Vision (understanding images), and Natural Language Processing (understanding text and speech).
AI is used in healthcare, banking, shopping and transport. It must be used fairly: bias from unfair data should be avoided, and privacy protected.
Explore the idea by tapping. The interactive opens right here in the lesson.
AI (machine learning).
ML (machine learning).
Computer Vision.
bias.
Making machines do tasks that usually need human intelligence, learning from data.
DL is inside ML, which is inside AI.
Data, Computer Vision and Natural Language Processing.
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AI makes machines do tasks that usually need human intelligence, learning from data (a rules-only machine is not AI). Machine Learning is a part of AI; Deep Learning is a part of ML using neural networks, so DL is inside ML inside AI. The three domains are Data, Computer Vision and Natural Language Processing. AI must be used fairly, avoiding bias and protecting privacy. |
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These free Class 10 Artificial Intelligence (Code 417) notes explain an introduction to AI, AI vs not AI, the link between AI ML and DL, the three domains of AI, and ethics with clear examples and practice, for CBSE students across India and the Gulf including the UAE, Saudi Arabia, Qatar, Oman, Kuwait and Bahrain.
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