Page 47 - AI & Machine Learning for Beginners: A Guided Workbook
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How Machines "Learn"
1. Gather data: Collect relevant
information
2. Prepare data: Clean, organize,
and format
3. Choose an algorithm: Select an
appropriate learning method
4. Train model: The Algorithm
processes data to create the
model
5. Test model: Evaluate
performance on new data
6. Refine model: Adjust
parameters to improve accuracy
7. Deploy model: Use in real-
world applications
Explain "machine learning" to a 10-year-old in your own words:
☐ ________________________________________________________________________
☐ ________________________________________________________________________
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Conclusion
Understanding AI doesn’t have to be complicated—by breaking
down concepts with real-world analogies, interactive activities,
and hands-on examples, anyone can grasp the fundamentals.
From learning how AI makes decisions to visualizing models
through sketches, this chapter has provided practical tools to
simplify AI literacy.
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