A Visual Introduction to Machine Learning
Using a data set about homes, see how a machine learning model is created to distinguish homes in New York from homes in San Francisco. One example of a machine learning method is a decision tree. See how a decision tree model works. An example decision tree demonstrates how if-then statements are used to define patterns in data. Adding split points and repeating processes (recursion) is also explained. Finally it shows how the tree performs on previously-unseen data.
Additional details
Year band(s) | 9-10 |
---|---|
Content type | Article or research |
Format | Web page |
Core and overarching concepts | Impact and interactions, Design thinking |
Australian Curriculum Digital Technologies code(s) |
AC9TDI10P02
Analyse and visualise data interactively using a range of software, including spreadsheets and databases, to draw conclusions and make predictions by identifying trends and outliers
AC9TDI10P09
Implement, modify and debug modular programs, applying selected algorithms and data structures, including in an object-oriented programming language |
Technologies & Programming Languages | Artificial Intelligence |
Keywords | Predictions, Data representation, Data visualisation, Algorithms, Branching, Statistical data, Decision tree, Scatter plot |
Organisation | R2D3 |
Copyright | R2D3. Free-for-education material. |
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