School Revise · Class 9 Artificial Intelligence · Unit 2
Code 417, Class 9. AI learns from data, so we must understand data. Here we learn its types and how to collect and read it.
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Data literacy is the ability to read, understand and use data. Since AI learns from data, good data leads to good AI.
Data can be numbers (like marks), text (like names), images or sound. It is also called structured (neat tables) or unstructured (free text, images).
We collect data from surveys, sensors or records. Then we clean it, filling missing values and fixing errors, so it is ready to use. This is called data pre-processing.
We study data to find its meaning, using simple statistics and charts. A chart makes patterns clear, so we can make good decisions.
Explore the idea by tapping. The interactive opens right here in the lesson.
data literacy.
structured data.
pre-processing.
chart.
The ability to read, understand and use data.
Any two: numbers, text, images, sound.
To fill missing values and fix errors so it is ready to use.
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Data literacy is the ability to read, understand and use data, and AI learns from data. Data can be numbers, text, images or sound, and structured (tables) or unstructured (free text, images). We collect data from surveys, sensors or records, then clean it (pre-processing) by filling gaps and fixing errors. Charts help us interpret data and make good decisions. |
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These free Class 9 Artificial Intelligence (Code 417) notes explain data literacy, types of data, structured and unstructured data, acquiring and cleaning data, and interpreting data 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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