Artificial Intelligence Flashcards
What is the difference between a traditional computer program and an ML model?
ML models use a data-driven approach
Which one of the following applications would most benefit from using an ML model?
A text prediction application that saves you time by predicting the next word you want to use in a sentence
AI applications can be used to generate works of art. What data does the model need to be able to generate the art?
Vast quantities of example artwork
A popular music streaming service has been designed using machine learning. Which one of the following services would benefit from using a data-driven approach?
Recommending a playlist based on the songs you commonly listen to
Which type of machine learning involves the use of pre-labelled data?
Supervised learning
Which one of the following describes the supervised learning approach to classification?
Categorizing data by applying labels
The following diagram shows that a piece of data has been labelled as an orange. Which one of the following describes the term ‘label’?
Applied to a single piece of data to indicate which class it belongs to
Which one of the following describes test data used during the creation of a classification model?
Data used to check the accuracy of the model
A machine learning model has been developed to identify birds from sound alone.
Add more audio samples of all known varieties of birds, Add audio samples of blackbirds in different conditions such as close up or far away
Whilst testing and evaluating the model, the developers found the following results. Which one of them is an indication of bias in the machine learning model?
The app is 96% accurate for blackbirds and 48% accurate for pigeons
Which one of the following methods would help to reduce bias in machine learning models?
Using equal amounts of data from different categories to train the model
Decision trees are made of nodes and conditions. Which two of the following nodes would contain a condition?
Decision nodes
The root node
Which of the following types of data would be suitable for a decision tree?
Numeric
Two machine learning developers have created decision trees. They have both used the same data set, but one has used the first half of the data set and the other has used the second half.
Which of the following would you expect to see when comparing the decision trees?
The decision trees are different
The decision trees are the same
The decision trees are different
Which two of the following are true about decision tree machine learning models?
They are suitable for handling large data sets with many features
They are able to adapt conditions based on new training data