1.
A pizza chain wants to open its delivery centers across a city. Which of the model suited to perform the task?
2.
Which Python modules are NOT used for Machine Learning?
3.
Which of the following is NOT an example of Artificial Narrow Intelligence?
4.
What are the common tools that we would use for developing a Machine Learning algorithm?
5.
Which of the following is a goal of the machine learning workflow?
7.
Which of the below is used in Machine Learning?
8.
The below code will produce?
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print(dataset.head(20))
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9.
Which of the following is a formalization of relationships between variables in the form of mathematical equations?
10.
Robots are example that uses this type of machine learning. Identify the type.
11.
Which statement is not true when we use Anaconda Enterprise?
12.
Which of the following is not a performance measure, but acts as a base for almost all of the performance metrics?
13.
How can AI enhance throughput and efficiency?
14.
How do Google, Amazon, and LinkedIn use artificial intelligence in their ecosystems?
15.
Train the Model is the first step of this type of machine learning. Identify the type.
16.
To predict continuous values like the price of a house, which model is suitable to be used in machine learning?
17.
What is the difference between traditional programming and machine learning?
18.
Which of the following is domain-specific feature engineering?
19.
The below code produce?
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pyplot.show()
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20.
Which of the following is used in classification problems where the output can be of two or more types of classes?
21.
What are some of the Machine Learning algorithms?
22.
Basic workflow in Machine Learning consist of
23.
Which of the following is an example of a sharp question?
24.
If you would like to start on a Machine Learning project what would be the most important aspect to think of?
25.
What is the output of the below program?
def greeting(name):
print("Hello, + name)
greeting("Donser'z Abica Wizer")
26.
Which of the following will be used to determine Accuracy?
27.
What are the common steps when preparing for Machine Learning implementation?
28.
What is a library in Python?
29.
Which of the following is more balanced than the arithmetic mean?
30.
Which of the following have computers traditionally done better than people?