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- 1. Multiple Choice
In the earlier PPT, Machine Learning is stated in what branches? [Hint: 2]
Computer Science
Technology
Artificial Intelligence (AI)
None of the Above
- 2. Multiple Choice
Which of these are included as benefits of machine learning? [Hint:3]
Automatic
Easily identifies trends and patterns
Used in limited fields
Good in handling data
- 3. Fill in the Blank
State any one example of machine learning used in our everyday lives!
- 4. Multiple Choice
State two games that apply machine learning
Akinator
Minecraft
Stockfish (Chess bot)
Google Dino
- 5. Multiple Choice
Which of these are included as drawbacks of Machine Learning? [Hint: 3]
Lots of memory space required
Money and time consuming
Create new jobs
Potentially replace human labor
- 6. Multiple Choice
What is Machine Learning?
the capability of a machine to imitate intelligent human behavior
the process of any machine relearning mistakes like a human
a high level computing language that can answer any of your questions
a part of a computer system
- 7. Multiple Choice
Which one of these uses machine learning?
Brickit app
Netflix
Pokemon go
Lato lato
- 8. Multiple Choice
Which picture best defines machine learning?
- 9. Multiple Choice
Who developed an Artificial Intelligence that could play checkers?
Arthur Samuel (1959)
James Henry (1959)
Aaron Samuel (1960)
Charles Babbage (1958)
- 10. Multiple Choice
Which website created by OpenAI can turn text to images?
DALI
DALL-E
DELL-A
WALL-E
- 11. Multiple Choice
Which bot on Discord can also turn text to images instantly?
JourneyAI Bot
MidJurney Bot
MidJourney Bot
JurneyAI Bot
- 12. Multiple Choice
Do you remember what Prompt Engineering is from the video?
The craft of communicating with deep learning models/AI
The craft of inserting a prompt and generating image
The craft of converting an image to text using AI
I don't know
- 13. Multiple Choice
Do you remember what Feature Engineering is from the video?
I don't remember
Process of deleting features
Transform data into features that does not represent an underlying problem
Transform raw data into features that better represent an underlying problem
- 14. Multiple Choice
How often do you use Machine Learning everyday?
Very often
Not often
Not sure
I don't use it at all
- 15. Multiple Choice
Do you think AI helps us in our daily lives?
None of the above
I agree!
Hmm...
No.
- Answer choicesTagsAnswer choicesTags