What is the process of "Training" in Machine Learning?

Giving examples to a model so it can learn

What is "Numerical Data"?

Data that can be counted or measured

Why is it important for technologists to ensure AI innovation is ethical?

To ensure the technology benefits everyone in society

What is "Categorical Data"?

Data that is divided into groups or categories

Most people have AI applied to them rather than:

Playing an active role in guiding what AI gets applied to

What is "Unsupervised Learning"?

Finding patterns in data without labels

What is a "label" in Machine Learning?

The output a model is trying to predict or decide

What is a "model" in Machine Learning?

A computer program designed to make decisions

AI and robotics enable us to do work that is:

Too dangerous or impossible for humans, or more efficient for machines

What are "features" in Machine Learning?

The inputs a model uses to make decisions

What is "Classification" in Machine Learning?

Predicting a category based on other features

What is "Bias" in Machine Learning?

When a decision favors some things and excludes others

What is "Supervised Learning"?

When a human trains a model by providing examples

What is Machine Learning?

Way computers recognize patterns/make decisions w/ no explicit programming

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Code.org CS Discoveries Artificial Intelligence Review

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Code.org CS Discoveries Unit 7 Review

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Questions 14

Answers

1
What is the process of "Training" in Machine Learning?
Giving examples to a model so it can learn
Running the model to get predictions
Removing bias from the model
A writing code to make a model
2
What is "Numerical Data"?
Data that has no numerical values
Data that can be counted or measured
Data that can be grouped into categories
Data used to train a model
3
Why is it important for technologists to ensure AI innovation is ethical?
To make sure their products are better than competitors'
To ensure the technology benefits everyone in society
To maximize profits
To prevent other companies from copying their ideas
4
What is "Categorical Data"?
Data that is missing or incomplete
Data that can be counted or measured
Data that is divided into groups or categories
Data that requires extensive processing
5
Most people have AI applied to them rather than:
Playing an active role in guiding what AI gets applied to
Using AI for personal projects
Programming the AI they use every day
Building their own AI models
6
What is "Unsupervised Learning"?
Using a supervised model in a different environment
Asking a human for input on decisions
Training a model with labeled data
Finding patterns in data without labels
7
What is a "label" in Machine Learning?
The process of training a model
A group of features used in a model
The code used to build a model
The output a model is trying to predict or decide
8
What is a "model" in Machine Learning?
A computer program designed to make decisions
A list of patterns found in the data
A set of inputs in training
A visual representation of data
9
AI and robotics enable us to do work that is:
Always better than human work
Cheaper than manual labor
Faster than humans can do
Too dangerous or impossible for humans, or more efficient for machines
10
What are "features" in Machine Learning?
The inputs a model uses to make decisions
The output or result of a model
The rules a computer follows to solve a problem
The computer program itself
11
What is "Classification" in Machine Learning?
Predicting a category based on other features
Measuring the size of different features
Creating a new model without training
Sorting data into numerical values
12
What is "Bias" in Machine Learning?
When a model gives equally distributed outcomes
When data is too noisy for the model to handle
When the output of a model is random
When a decision favors some things and excludes others
13
What is "Supervised Learning"?
A model learning to make decisions on its own
Training a model without providing any labels
A type of learning that does not require data
When a human trains a model by providing examples
14
What is Machine Learning?
A method for coding computers to do one specific task
Way computers recognize patterns/make decisions w/ no explicit programming
A system that makes decisions by guessing randomly
D) A tool for storing data efficiently

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