ML and Algorithm

The term A.I is short for?

• Anatomy Insector

• Astrology Iselin

• Anh Intelligence

• Artificial Intelligence

• Antificial Intelligence

Artificial Intelligence is the process that allows computers to learn and make decisions like humans

• True
• False

What kind of learning algorithm for "Facial identities or facial expressions"?

• Recognizing Anomalies

• Prediction

• Generating Patterns

• Recognition Patterns

When we make inferences from data, what might affect our conclusions? Select all that apply.

• Our own experiences and presumptions might introduce bias.

• We can't make inferences from data because we aren't computers.

• A limited data set might make it hard to recognize patterns.

• Our inability to analyze data with digital tools might introduce human error.

Which scenario is an example of the privacy and/or ethical concerns people have with machine learning?

• Your bank sends you an automated text message alerting you to a potentially fraudulent. transaction on your credit card.

• An job applicant is not offered the job after a computer program determines she is likely unsuitable due to her facial expressions and body language.

• You receive an automated email from a website you have shopped with before, letting you know one of your favorite products is on sale.

• A weather app uses radar and computer models to alert you to a developing storm.

To learn about teenagers' opinions of different social media platforms, a survey was given to students of one high school. This sample is...

• representative

• biased

• random

_______ is the entire group of objects or individuals considered for a survey.

• Sample

• Quartile

• Random Sample

• Population

A value that is much higher or much lower than the other values in a set of data.

• Outlier
• Box Plot
• Range
• Histogram

• Data that does not accurately reflect the full population or phenomenon being studied

• Machine bias

• Data bias

• Typo

• Incorrect process

How many images would you need of a cat, for example, to train a neural network ?

• about 10

• a few hundred

• thousands