1.
What are some of the Machine Learning algorithms?
2.
How do Google, Amazon, and LinkedIn use artificial intelligence in their ecosystems?
3.
Which of the following is more balanced than the arithmetic mean?
4.
Which of the following is used in classification problems where the output can be of two or more types of classes?
6.
What is the output of the below program?
def greeting(name):
print("Hello, + name)
greeting("Donser'z Abica Wizer")
7.
Which of the following is a formalization of relationships between variables in the form of mathematical equations?
8.
If you would like to start on a Machine Learning project what would be the most important aspect to think of?
9.
Which of the following is NOT an example of Artificial Narrow Intelligence?
10.
Which of the following is not a performance measure, but acts as a base for almost all of the performance metrics?
11.
Which of the following will be used to determine Accuracy?
12.
Which of the following is an example of a sharp question?
13.
Which of the following is a goal of the machine learning workflow?
14.
Which of the following have computers traditionally done better than people?
15.
What are the common steps when preparing for Machine Learning implementation?
16.
Which Python modules are NOT used for Machine Learning?
17.
The below code produce?
--------------------
pyplot.show()
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18.
Which statement is not true when we use Anaconda Enterprise?
19.
What are the common tools that we would use for developing a Machine Learning algorithm?
20.
Robots are example that uses this type of machine learning. Identify the type.
21.
Which of the below is used in Machine Learning?
22.
Train the Model is the first step of this type of machine learning. Identify the type.
23.
To predict continuous values like the price of a house, which model is suitable to be used in machine learning?
24.
Which of the following is domain-specific feature engineering?
25.
How can AI enhance throughput and efficiency?
26.
What is a library in Python?
27.
Basic workflow in Machine Learning consist of
28.
A pizza chain wants to open its delivery centers across a city. Which of the model suited to perform the task?
29.
What is the difference between traditional programming and machine learning?
30.
The below code will produce?
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print(dataset.head(20))
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