renumbering quizzes

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Jen Looper 2022-04-21 09:47:28 -04:00
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> Sketchnote by [Tomomi Imura](https://twitter.com/girlie_mac)
## [Pre-lecture quiz](https://black-ground-0cc93280f.1.azurestaticapps.net/quiz/101)
## [Pre-lecture quiz](https://black-ground-0cc93280f.1.azurestaticapps.net/quiz/1)
**Artificial Intelligence** is an exciting scientific discipline that studies how we can make computers exhibit intelligent behavior, e.g. do those things that human beings are good at doing.
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Do a tour of the internet to determine where, in your opinion, AI is most effectively used. Is it in a Mapping app, or some speech-to-text service or a video game? Research how the system was built.
## [Post-lecture quiz](https://black-ground-0cc93280f.1.azurestaticapps.net/quiz/201)
## [Post-lecture quiz](https://black-ground-0cc93280f.1.azurestaticapps.net/quiz/2)
## Review & Self Study

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The quest for artificial intelligence is based on a search for knowledge, to make sense of the world similar to how humans do. But how can you go about doing this?
## [Pre-lecture quiz](https://black-ground-0cc93280f.1.azurestaticapps.net/quiz/2)
## [Pre-lecture quiz](https://black-ground-0cc93280f.1.azurestaticapps.net/quiz/3)
In the early days of AI, the top-down approach to creating intelligent systems (discussed in the previous lesson) was popular. The idea was to extract the knowledge from people into some machine-readable form, and then use it to automatically solve problems. This approach was based on two big ideas:
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In the three notebooks associated to this lesson, there are challenges at the end - pick one, and try to solve it!
## [Post-lecture quiz](https://black-ground-0cc93280f.1.azurestaticapps.net/quiz/3)
## [Post-lecture quiz](https://black-ground-0cc93280f.1.azurestaticapps.net/quiz/4)
## Review & Self Study

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# Introduction to Neural Networks: Perceptron
## [Pre-lecture quiz](https://black-ground-0cc93280f.1.azurestaticapps.net/quiz/4)
## [Pre-lecture quiz](https://black-ground-0cc93280f.1.azurestaticapps.net/quiz/5)
One of the first attempts to implement something similar to a modern neural network was done by Frank Rosenblatt from Cornell Aeronautical Laboratory in 1957. It was a hardware implementation called "Mark-1", designed to recognize primitive geometric figures, such as triangles, squares and circles.
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If you'd like to try to build your own perceptron, try [this lab on Microsoft Learn](https://docs.microsoft.com/en-us/azure/machine-learning/component-reference/two-class-averaged-perceptron?WT.mc_id=academic-57639-dmitryso) which uses the [Azure ML designer](https://docs.microsoft.com/en-us/azure/machine-learning/concept-designer?WT.mc_id=academic-57639-dmitryso).
## [Post-lecture quiz](https://black-ground-0cc93280f.1.azurestaticapps.net/quiz/5)
## [Post-lecture quiz](https://black-ground-0cc93280f.1.azurestaticapps.net/quiz/6)
## Review & Self Study