Teaching resources

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What is Machine Learning

In these resources students develop their own algorithms (KS3), explore the ethics of leaving decision making to machines (KS4), learn how images can get stored as data, and delve into what the consequences of false positives and negatives could be for various applications (KS5).

KS3 - All Sorted
KS4 - Computer Says No
KS4 - Picture This
KS5 - Testing Testing
In this lesson students will develop their own rules/algorithms for sorting objects and also look at the effect that increasing the size of the data set has. It is also possible to use the second part of this lesson to look at creating and using classification keys.
Students explore the ethics of using computers to make decisions. Is it a good idea to have computers making decisions if we can’t know how they are deciding the outcome? Are computers more or less likely to be biased than people? Are there some decisions that should always/never be made by computers?
In this lesson students will explore how bitmap images can be stored or displayed using binary notation, how the image can be compressed using RLE and information about meta-data that is stored with the image.
In this lesson, students discover some of the uses of machine learning in addition to exploring the numbers behind false negatives and false positives and some of their surprising consequences.

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