Create a machine learning model to classify images and explore how a limited data set can lead to bias.
Describe the impact of data on the accuracy of a machine learning (ML) model
Explain the need for both training and test data
Explain how bias can influence the predictions generated by an ML model
Artificial intelligence (AI), machine learning (ML), supervised learning, classification, training data, test data, accuracy, bias, data bias, societal bias
The three different types of machine learning
Supermarket AI application
Training a model
Bias
Student timetable model
Reducing bias
