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Artificial Intelligence and Machine Learning mind maps

460 mind maps by 362 users · Page 1 of 12

This GoConqr page gathers over 400 mind maps on Artificial Intelligence and Machine Learning, from expert systems to neural networks. They are mostly university-level resources, with school-level material too, for university students and professional candidates, school students and teachers exploring these topics. Pick a map to begin.

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About artificial intelligence and machine learning mind maps

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Artificial intelligence and machine learning mind maps

These user-made maps offer different routes into the unit. Knowledge Based Systems sets out the parts of a knowledge-based system, while Applications of AI includes neural networks, pattern matching and vision systems. AI Development links hardware developments with areas such as games and chatterbots.

Choosing and using a map

Start with Introduction to AI if you want a starting point. If you are working on a particular topic, choose a focused map such as Deep Feed forward Neural Networks or Knowledge Based Systems.

Follow the branches and pause to explain each connection in your own words. Revisit the map when a link is unclear. When you want to check recall, switch to a quiz on the unit page; use flashcards when you want to practise individual terms. Choose a topic and explore its map.

Frequently asked questions

Which mind map should I start with?

Try Introduction to AI for a starting point. If you already have a topic in mind, Knowledge Based Systems sets out the parts of such systems, while Deep Feed forward Neural Networks starts with the perceptron. Choose the map that fits what you are studying.

Are these mind maps free to use?

Yes. Every resource listed here is free to open and study, without an account. The maps were made by GoConqr users rather than by GoConqr. A free account also lets you make your own mind maps, quizzes, flashcards and notes, and save quiz scores.

Who are these mind maps for?

Most of the resources are at university level, with some school-level material too. University students and professional candidates can use the maps to explore topics such as neural networks and knowledge-based systems. School students and teachers can also look for maps that fit the topic they are studying.

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