Al Concepts — Chapter Summary
ICSE · Class 9 · Robotics & Artificial Intelligence
Summary of Al Concepts for ICSE Class 9 Robotics & Artificial Intelligence. Part of the ICSE Class 9 Robotics & Artificial Intelligence syllabus.
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Overview
AI concepts explain how machines can learn from data, improve with experience, and make decisions in different ways. Machine Learning is a subset of Artificial Intelligence, and Deep Learning is a subset of Machine Learning. The chapter also introduces supervised learning, unsupervised learning, rei
Key Concepts
Machine learning is an application
Machine learning is an application of artificial intelligence that provides systems the ability to automatically learn and improve from experience wit
Machine Learning is a subset
Machine Learning is a subset of Artificial Intelligence. Artificial Intelligence is the broader idea of making machines perform tasks in a smart way,
A supervised learning algorithm learns from
A supervised learning algorithm learns from fully labelled training data and then becomes ready to predict outcomes for unforeseen data. It uses input
Unsupervised learning is a machine learning
Unsupervised learning is a machine learning technique in which the users do not need to supervise the model. It has no labels, no feedback, and finds
Reinforcement learning is a feedback
Reinforcement learning is a feedback-based machine learning technique in which an agent learns to behave in an environment by performing actions and s
Learning Objectives
- Understand the meaning of Machine Learning
- Learn the advantages and disadvantages of Machine Learning
- Identify common applications of Machine Learning
- Understand the three types of Machine Learning
- Understand what Deep Learning is
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Sources & Official References
Content is aligned to the official syllabus. Refer to the board website for the latest curriculum.
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