Curriculum
Grade XI AI
Lessons
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Unit 1-Introduction: AI for Everyone
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Unit 2-Unlocking your Future in AI
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Unit 3-Python Programming
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Unit 4-Introduction to Capstone Project
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Unit 5-Data Literacy
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Unit 6-Machine Learning Algorithms
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Unit 7-Leveraging Linguistics and Computer Science (NLP)
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Unit 8-AI Ethics and Values
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Notes
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Work Sheets
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Unit 6-Machine Learning Algorithms
School Revise · Class 11 Artificial Intelligence · Unit 6
Machine Learning Algorithms
Code 843, Class 11. Machine learning lets computers learn from data. Here we meet the main kinds of learning.
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What this unit is about
Machine Learning (ML) is a part of AI where the computer learns patterns from data instead of being told every rule.
1. Supervised learning
In supervised learning the data has labels (right answers). The model learns to predict the label, for example marking an email as spam or not spam.
2. Unsupervised learning
In unsupervised learning the data has no labels. The model finds groups on its own, called clustering, for example grouping similar customers.
3. Classification and regression
Classification predicts a category (spam or not spam). Regression predicts a number (the price of a house). Both are types of supervised learning.
Practise with the interactive
Explore the idea by tapping. The interactive opens right here in the lesson.
Practice set A, multiple choice
1. ML that learns from labelled data is …
supervised learning.
2. ML that finds groups without labels is …
unsupervised learning.
3. Predicting a category is …
classification.
4. Predicting a number is …
regression.
Practice set B, short answer
1. What is machine learning?
A part of AI where the computer learns patterns from data.
2. What is the difference between supervised and unsupervised learning?
Supervised uses labelled data; unsupervised has no labels and finds groups.
3. What is the difference between classification and regression?
Classification predicts a category; regression predicts a number.
Quick summary
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Machine learning is a part of AI where the computer learns patterns from data. Supervised learning uses labelled data to predict the label; unsupervised learning has no labels and finds groups (clustering). Classification predicts a category, and regression predicts a number, both types of supervised learning. |
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These free Class 11 Artificial Intelligence (Code 843) notes explain machine learning algorithms, supervised and unsupervised learning, clustering, and classification and regression 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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