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- 1. Multiple Choice
We already have Artificial Intelligence in the form of complex ALGORITHMS that read data and learn from its users.
True
False
- 2. Multiple Choice
SELECT ALL THAT APPLY.
Which of the following does a machine have to be able to do in order for it to have Artificial Intelligence?
interpret data
learn from data
achieve specific goals
perform basic tasks like a human
talk in complete sentences
- 3. Multiple Choice
Some humans can do more "operations" in a given amount of time than a modern computer.
True
False
- 4. Multiple Choice
_________ ________ states that about every 2 years, technology advances so that the speed of computers doubles.
Moore's Law
Trump's Law
Murphy's Law
Lawrence's Law
- 5. Multiple Choice
What modern invention gave machines enough data to begin mimicking human intelligence?
Instagram
Drones
Tik Tok
Social Media
- 6. Multiple Choice
Everything we do online contributes to the DATA around the world and on the internet.
True
False
- 7. Multiple Choice
A brand new AI program is similar to __________ making a guess.
a teacher
a dog
an adult
a baby
- 8. Multiple Choice
SELECT ALL THAT APPLY.
Which of these are an example of gathering data?
A computer tracking temperature changes throughout the week
A computer that categorizes people on whether or not they like similar bands
A computer that tracks which friends like your posts the most.
A computer that tracks the things that you purchase with your credit card.
- 9. Multiple Choice
In programming, what is the definition of precision?
How quickly your program can perform tasks
How much you should trust the accuracy of your program
How many math problems your program can complete in a given time
How well your program can perform on a video game
- 10. Multiple Choice
What is the definition of Reinforcement Learning?
The process of learning an action through feedback and practice until the action is completed.
The process of learning with training labels (like donut or bagel from the crash course video).
The process of learning without training labels through grouping and clustering things that are similar.
- 11. Multiple Choice
What is the definition of Unsupervised Learning?
The process of learning an action through feedback and practice until the action is completed.
The process of learning with training labels (like donut or bagel from the crash course video).
The process of learning without training labels through grouping and clustering things that are similar.
- 12. Multiple Choice
What is the definition of Supervised Learning?
The process of learning an action through feedback and practice until the action is completed.
The process of learning with training labels (like donut or bagel from the crash course video).
The process of learning without training labels through grouping and clustering things that are similar.
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