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TechTrain 2023 Spring

Total questions: 19

Worksheet time: 10mins

Name
Class
Date
1.

Which of the following is a popular programming language for building AI systems?

a)

Java

b)

C#

c)

Python

d)

Ruby

2.

Which of the following is not a type of machine learning?

a)

Supervised learning

b)

Unsupervised learning

c)

Reinforcement learning

d)

Encrypted learning

3.

What is the name of the AI system developed by Google that beat a world champion in the board game Go?

a)

AlphaGo

b)

Watson

c)

Deep Blue

d)

Siri

4.

Which of the following is not an application of AI?

a)

Natural Language Processing

b)

Facial Recognition

c)

Autonomous Driving

d)

Deep Sea Diving

5.

Which of the following is a type of reinforcement learning algorithm?

a)

Q-learning

b)

Gradient descent

c)

Random forest

d)

Linear regression

6.

Which of the following is not a type of neural network?

a)

Convolutional Neural Network

b)

Recurrent Neural Network

c)

Feedforward Neural Network

d)

Linear Regression Neural Network

7.

Which of the following is a popular open-source platform for building ML models?

a)

R

b)

SAS

c)

SPSS

d)

Apache Spark

8.

Which of the following is not a form of data used in ML?

a)

Structured data

b)

Semi-structured data

c)

Unstructured data

d)

Encrypted data

9.

What is the name of the AI system developed by IBM that won Jeopardy! in 2011?

a)

AlphaGo

b)

Watson

c)

Deep Blue

d)

Siri

10.

Which of the following is not a popular deep learning framework?

a)

TensorFlow

b)

Keras

c)

PyTorch

d)

Caffe

11.

What is the name of the popular dataset used for computer vision tasks?

a)

CIFAR-10

b)

MNIST

c)

IMDB

d)

Wine quality

12.

Which of the following is not a type of clustering algorithm?

a)

K-means clustering

b)

Hierarchical clustering

c)

Naive Bayes clustering

d)

DBSCAN clustering

13.

Which type of machine learning algorithm is based on decision trees?

a)

K-Nearest Neighbors

b)

Naive Bayes

c)

Support Vector Machines

d)

Random Forests

14.

Which of the following is not a type of decision tree algorithm?

a)

CART

b)

ID3

c)

C4.5

d)

SVM

15.

What is the main objective of unsupervised learning?

a)

To learn from labeled data

b)

To learn from feedback

c)

To find patterns in data

d)

To predict outcomes

16.

Which of the following is not a popular method for evaluating the performance of an ML model?

a)

Precision-Recall curve

b)

Confusion matrix

c)

ROC curve

d)

Simpson's Paradox

17.

Which one of the following is a supervised learning algorithm?

a)

K-Means Clustering

b)

Principal Component Analysis

c)

Linear Regression

d)

None of the above

18.

Which one of the following is NOT a subfield of AI?

a)

Natural Language Processing

b)

Computer Vision

c)

Machine Learning

d)

None of the above

19.

What is the most common evaluation metric for classification models?

a)

Mean Absolute Error

b)

Root Mean Squared Error

c)

F1 Score

d)

R-Squared