Robotics & Artificial Intelligence
Answer
The steps involved in machine learning are:
- Data Collection: Gather a large amount of relevant data (e.g., images, text, numbers).
- Data Pre-processing: Clean and prepare the data by removing errors/duplicates and converting it into a suitable format.
- Training Data and Labels: Split data into training data and labels (correct outputs) to teach the model.
- Algorithm Training: Apply ML algorithms on training data so the model learns patterns and rules.
- Model Evaluation: Test the trained model using separate test data to check accuracy and performance.
- Model Optimisation: Improve the model by tuning parameters/features or changing the algorithm until desired results are achieved.
- Prediction/Decision Making: Use the final model to make predictions/decisions on new (unseen) data.
Related Questions
What will be the output of the following Python code?
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- Import the necessary libraries.
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