Artificial Intelligence Models and Use Cases
Not all business decisions relate to numbers. In this course, you can expand the range of your predictive modelling capabilities, using classification to predict scenarios with a limited number of outcomes.
Intermediate 9 Lessons 60 Minutes CPD Credits
About This Course
AI can be used to predict more than just numbers. In this course, you will explore how scenarios can be predicted using classification techniques.
You will learn about decision trees, how they are grown and which variables they use. You will compare the outputs of multiple decision trees. You will also evaluate a tree using a confusion matrix.
By the end of this course, you will have an appreciation for how scenarios can be predicted using AI, even when working with a limited number of values.
Outline problems that can be solved using classification techniques
Explain how a decision tree makes predictions
Select the input variables for a decision tree
Explain how a decision tree is grown
Compare the outputs of multiple decision trees
Evaluate a tree using a confusion matrix
- List some models that develop multiple decision trees