Give the steps involved in machine learning.

The steps involved in machine learning are:

1. Data Collection: Gather a large amount of relevant data (e.g., images, text, numbers).
2. Data Pre-processing: Clean and prepare the data by removing errors/duplicates and converting it into a suitable format.
3. Training Data and Labels: Split data into training data and labels (correct outputs) to teach the model.
4. Algorithm Training: Apply ML algorithms on training data so the model learns patterns and rules.
5. Model Evaluation: Test the trained model using separate test data to check accuracy and performance.
6. Model Optimisation: Improve the model by tuning parameters/features or changing the algorithm until desired results are achieved.
7. Prediction/Decision Making: Use the final model to make predictions/decisions on new (unseen) data.