Tussle Round 1

Tussle Round 1

12th Grade

21 Qs

quiz-placeholder

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Tussle Round 1

Tussle Round 1

Assessment

Quiz

Computers

12th Grade

Hard

Created by

Intel IoT Club

Used 3+ times

FREE Resource

21 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which type of neural network is commonly used for image recognition tasks?

Convolutional Neural Network (CNN)

Recurrent Neural Network (RNN)

Multilayer Perceptron (MLP)

Deep Belief Network (DBN)

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which machine learning technique is best suited for identifying unusual patterns or outliers in a dataset?

Regression

Clustering

Classification

Dimensionality reduction

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which algorithm is commonly used for unsupervised learning?

Decision Trees

K-Nearest Neighbors

Random Forest

K-Means

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of feature engineering in machine learning?

To extract relevant features from the data

To select the best features for the model

To preprocess the data for modeling

To evaluate the performance of the model

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

You are part of a data science team that is working for a national real estate company. You create a report that shows a relationship between the square footage of houses and their sale prices. Specifically, the report demonstrates that as the square footage of a house increases, the sale price tends to increase as well. What is the most likely diagram that your team created?

Multiclass classification diagram

Linear regression and scatter plots

Pivot table

K-means cluster diagram

6.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Your university wants to use machine learning algorithms to help sort through incoming student applications. An administrator asks if the admissions decisions might be biased against any particular group, such as women. What would be the best answer?

Machine learning algorithms are based on math and statistics, and so by definition will be unbiased.

There is no way to identify bias in the data.

Machine learning algorithms are powerful enough to eliminate bias from the data.

All human-created data is biased, and data scientists need to account for that.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

You want to create a supervised machine learning system that identifies pictures of kittens on social media. To do this, you have collected more than 100,000 images of kittens. What is this collection of images called?

training data

linear regression

big data

test data

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