Study Guide - Machine Learning
Quiz
•
Computers
•
12th Grade
•
Medium
Joshua Donato
Used 29+ times
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of these best describes the difference between traditional programming and machine learning?
Traditional programming uses inputs with algorithms to calculate outputs, whereas machine learning uses inputs and outputs to find an algorithm.
Traditional programming is easier than machine learning.
Traditional programming can use iteration or recursion, but machine learning can only use iteration.
Traditional programming can be object-oriented, while machine learning can't.
2.
FILL IN THE BLANK QUESTION
1 min • 1 pt
Inputs used for training a machine learning model are called ___.
Answer explanation
Inputs used for training a machine learning model are called features.
3.
FILL IN THE BLANK QUESTION
1 min • 1 pt
Outputs used for training a machine learning model are called ___.
Answer explanation
Inputs used for training a machine learning model are called labels.
4.
FILL IN THE BLANK QUESTION
1 min • 1 pt
Pairs of inputs and outputs used for training a machine learning model are called ___.
Answer explanation
Pairs of inputs and outputs used for training a machine learning model are called examples.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of these libraries are used for machine learning?
TensorFlow
NumPy
Pyplot
Pip
Answer explanation
In Python, there are several machine learning libraries, such as TensorFlow, PyTorch, and Theano.
6.
MULTIPLE SELECT QUESTION
45 sec • 1 pt
Which of the following are required for a machine learning model to compile properly? Select all that apply.
Training examples
A loss function
An optimizer function
Test examples
Answer explanation
To compile, a machine learning model needs three things: training examples, a loss function, and an optimizer function.
7.
MULTIPLE SELECT QUESTION
45 sec • 1 pt
Which of the following are Keras layers? Select all that apply.
Dense
Flatten
Sequential
Adam
Answer explanation
Keras includes several machine learning layers, including Dense and Flatten.
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