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AI Lesson 3 Review

Total questions: 21

Worksheet time: 16mins

Name
Class
Date
1.

What is Machine Learning (ML)?

a)

A type of AI that allows computers to learn and improve from experience without being explicitly programmed.

b)

A method of programming that uses specific rules and logic.

c)

A system that only uses traditional programming techniques.

d)

A type of AI that does not involve any data.

2.

What does Machine Learning use to make predictions?

a)

Specific rules

b)

Data

c)

Manual calculations

d)

Fixed algorithms

3.

What does Unsupervised Learning help with in customer segmentation?

a)

Using labeled data

b)

Discovering shopping behavior patterns

c)

Learning from feedback

d)

Training with rewards

4.

Which learning type involves trial and error?

a)

Supervised Learning

b)

Unsupervised Learning

c)

Reinforcement Learning

d)

Predictive Learning

5.

What is the first step in training a machine learning model?

a)

Evaluating the Model

b)

Collecting Data

c)

Improving the Model

d)

Training the Model

6.

What does collecting data involve in machine learning?

a)

Testing the model's accuracy

b)

Feeding data into an algorithm

c)

Gathering relevant examples

d)

Fine-tuning with more data

7.

Which step involves fine-tuning with more data or better algorithms?

a)

Collecting Data

b)

Training the Model

c)

Evaluating the Model

d)

Improving the Model

8.

What is the goal of evaluating the model in machine learning?

a)

To test the model's accuracy

b)

To gather relevant examples

c)

To feed data into an algorithm

d)

To fine-tune with more data

9.

Which application of machine learning is used in retail?

a)

Diagnosing diseases

b)

Fraud detection

c)

Personalized product recommendations

d)

Autonomous vehicles

10.

What can happen to jobs due to automation and machine learning?

a)

All jobs will be created

b)

All jobs will be destroyed

c)

Some jobs will be replaced

d)

No jobs will be affected

11.

What is a potential outcome of job displacement due to machine learning?

a)

More manual jobs

b)

Fewer jobs overall

c)

Creation of new jobs

d)

No change in jobs

12.

Which learning method is similar to training a dog with rewards?

a)

Supervised

b)

Unsupervised

c)

Reinforcement

d)

None of the above

13.

In which learning type does a computer learn from labeled data?

a)

Supervised

b)

Unsupervised

c)

Reinforcement

d)

None of the above

14.

What type of learning involves a feedback loop with rewards?

a)

Supervised

b)

Unsupervised

c)

Reinforcement

d)

None of the above

15.

What type of learning is used when a computer groups data based on patterns?

a)

Supervised

b)

Unsupervised

c)

Reinforcement

d)

None of the above

16.

What is the primary benefit of using machine learning in data analysis?

a)

Manual data entry

b)

Automated pattern recognition

c)

Fixed algorithm application

d)

Increased data storage

17.

Which type of machine learning is best suited for predicting future trends?

a)

Supervised Learning

b)

Unsupervised Learning

c)

Reinforcement Learning

d)

None of the above

18.

What is a common challenge when implementing machine learning models?

a)

Underfitting

b)

Overfitting

c)

Excessive manual intervention

d)

Data scarcity

19.

What is a common use of machine learning in finance?

a)

Predicting stock prices

b)

Designing new currencies

c)

Manual bookkeeping

d)

Creating financial regulations

20.

Which type of machine learning is used for classifying emails as spam or not spam?

a)

Supervised Learning

b)

None of the above

c)

Unsupervised Learning

d)

Reinforcement Learning

21.

What is a key challenge in machine learning related to data quality?

a)

Data redundancy

b)

Data abundance

c)

Data scarcity

d)

Data uniformity