
Tussle Round 1
Authored by Intel IoT Club
Computers
12th Grade
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21 questions
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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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