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Python with Ai

Total questions: 20

Worksheet time: 11mins

Name
Class
Date
1.

What is machine learning?

a)

A technique for robots to speak

b)

A method for computers to learn from data

c)

A way to repair computers

d)

A tool for designing websites

2.

Which of these is an example of machine learning in daily life?

a)

Using a calculator

b)

Movie recommendations on Netflix

c)

Listening to music on radio

d)

Writing a letter

3.

What kind of learning is used by voice assistants like Siri and Google Assistant?

a)

Supervised learning

b)

Unsupervised learning

c)

Reinforcement learning

d)

Machine learning

4.

Which of the following is NOT an example of machine learning?

a)

Predictive text on smartphones

b)

Sorting emails into spam and inbox

c)

Taking a selfie with a phone

d)

Face recognition in security cameras

5.

Which machine learning method is most likely used in self-driving cars?

a)

Reinforcement learning

b)

Supervised learning

c)

Unsupervised learning

d)

None of the above

6.

What is the purpose of a "training dataset" in machine learning?

a)

To test the machine learning model

b)

To train the model by providing examples

c)

To store data for future use

d)

To eliminate noise from the data

7.

Which of the following apps uses machine learning for personalized recommendations?

a)

YouTube

b)

WhatsApp

c)

Microsoft Word

d)

Google Docs

8.

Which machine learning technique is used to classify emails as spam or not?

a)

Regression

b)

Clustering

c)

Classification

d)

Association

9.

Which of the following is an example of supervised learning?

a)
  • Finding patterns in unlabeled data

b)
  • Predicting house prices based on labeled examples

c)
  • Grouping customers into segments

d)

Rewarding a robot for achieving its goal

10.

Which type of neural network is typically used in image recognition tasks?

a)
  • Recurrent Neural Network (RNN)

b)

Convolutional Neural Network (CNN)

c)

Feedforward Neural Network (FNN)

d)

Generative Adversarial Network (GAN)

11.

Which type of machine learning is used when the model learns from labeled data?

a)

Reinforcement learning

b)

Supervised learning

c)

Unsupervised learning

d)

Clustering

12.

How do social media platforms use machine learning to filter inappropriate content?

a)

By relying on user reports

b)

By scanning content for certain words and phrases

c)

By using deep learning models to detect offensive images, videos, and text

d)

By manually reviewing all posts

13.

What is the role of machine learning in fraud detection for e-commerce websites?

a)

Analyzing browsing history to target ads

b)

Flagging suspicious transactions by recognizing patterns in user behavior that are uncommon or risky

c)

Increasing website speed by optimizing code

d)

Offering discounts on products

14.

In which way does a credit scoring system use machine learning to evaluate loan applications?

a)

By comparing your data with others' using a supervised learning algorithm

b)

By checking your social media activity

c)
  • By analyzing only your employment history

d)

By manually reviewing your financial history

15.

What is the function of neurons in a neural network?

a)

To store data permanently

b)

To handle internet traffic

c)

To increase the speed of the network

d)

To process and transmit signals (input) through the network

16.

What is a neural network in machine learning?

a)

A system designed to connect multiple computers

b)

A model inspired by the human brain that consists of layers of interconnected nodes (neurons)

c)

A way to store and retrieve data

d)

A method for sending data over the internet

17.

In a neural network, what is an "activation function"?

a)

A function used to initialize the network

b)

A function to end the training process

c)

A function that determines whether a neuron should be activated or not based on its input

d)

A function to add random noise to the input

18.

What is the output layer in a neural network?

a)

The layer that receives data inputThe final layer that provides the prediction or classification

b)

The final layer that provides the prediction or classification

c)

The hidden layer in the middle

d)

The layer responsible for adjusting weights

19.

Check if Python is installed on your system using command line (CMD)

(a)  

20.

How do I update Jupyter if it's already installed? Command:

(a)