Al Concepts
ICSE · Class 9 · Robotics & Artificial Intelligence
Quick revision notes for Al Concepts — ICSE Class 9 Robotics & Artificial Intelligence. Key concepts, formulas, and definitions for last-minute revision.
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Key Topics to Revise
Machine Learning Basics
- Machine Learning is an application of Artificial Intelligence.
- It gives systems the ability to learn and improve from experience without being explicitly programmed.
- Arthur Samuel gave a key definition of Machine Learning in 1959.
Types of Machine Learning
- Machine Learning has three main types: Supervised Learning, Unsupervised Learning, and Reinforcement Learning.
- Supervised Learning uses labeled data and direct feedback.
- Unsupervised Learning has no labels, no feedback, and finds hidden structure.
Supervised Learning in Detail
- A supervised learning algorithm learns from fully labeled training data.
- After training, it becomes ready to predict outcomes for unseen data.
- The mapping idea is written as y = f(X).
Unsupervised and Reinforcement Learning
- Unsupervised learning works on unlabeled data.
- It has no response variable and no training labels.
- It is used to find hidden structure and group similar items.
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