Dale Lane's Machine Learning for Kids project uses extensions to the popular Scratch programming environment to teach the basics of machine learning to children.
It aims to make mastering machine-learning fun and intuitive, and its been tested on lots of school groups, with a set of starter projects that are fun and instructional.
The best way for kids to learn about machine learning is for them to get hands-on, first-hand experiences.
If they can train a computer to do something, they'll get it.
If they see what makes it learn more effectively, or what sort of training makes it get everything wrong – they'll get it.
If presented in the right way, the basic principles can be totally accessible.
We need some equivalent to Scratch. An easy to use tool, that provides a visual metaphor for the concept of machine learning.
Something that lets them set up a few buckets, and then collect examples of text or images or numbers – to train a computer to be able to recognise them.
Machine learning projects
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