Robotics & Artificial Intelligence
Describe the steps involved in a machine learning project using the example of fruit sorting.
Decision making in Machines
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Answer
The steps involved in a machine learning project using the example of fruit sorting are:
- Data collection: Collect images of different fruits such as apples, bananas, and oranges.
- Data preparation: Label the images and preprocess them to make the data suitable for analysis.
- Feature extraction: Identify features such as colour, shape, and size of fruits.
- Model training: Train a machine learning model using the prepared and labelled data so that it can learn patterns.
- Model testing: Test the trained model using new fruit images to check its accuracy.
- Deployment: Use the trained model in a real-time system to automatically sort fruits based on their features.
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