1.
Robots are example that uses this type of machine learning. Identify the type.
2.
Which of the following is not a performance measure, but acts as a base for almost all of the performance metrics?
3.
Which of the following will be used to determine Accuracy?
4.
Which of the following is more balanced than the arithmetic mean?
5.
Which of the following is domain-specific feature engineering?
6.
Which of the following have computers traditionally done better than people?
7.
How can AI enhance throughput and efficiency?
8.
To predict continuous values like the price of a house, which model is suitable to be used in machine learning?
9.
What are the common tools that we would use for developing a Machine Learning algorithm?
10.
What is a library in Python?
11.
How do Google, Amazon, and LinkedIn use artificial intelligence in their ecosystems?
12.
Basic workflow in Machine Learning consist of
13.
Which of the following is used in classification problems where the output can be of two or more types of classes?
14.
If you would like to start on a Machine Learning project what would be the most important aspect to think of?
15.
Which of the following is NOT an example of Artificial Narrow Intelligence?
17.
The below code produce?
--------------------
pyplot.show()
--------------------
18.
What is the output of the below program?
def greeting(name):
print("Hello, + name)
greeting("Donser'z Abica Wizer")
19.
Which Python modules are NOT used for Machine Learning?
20.
Which of the following is a formalization of relationships between variables in the form of mathematical equations?
21.
Train the Model is the first step of this type of machine learning. Identify the type.
22.
Which statement is not true when we use Anaconda Enterprise?
23.
What is the difference between traditional programming and machine learning?
24.
Which of the following is a goal of the machine learning workflow?
25.
A pizza chain wants to open its delivery centers across a city. Which of the model suited to perform the task?
26.
What are some of the Machine Learning algorithms?
27.
Which of the below is used in Machine Learning?
28.
The below code will produce?
----------------------------
print(dataset.head(20))
----------------------------
29.
What are the common steps when preparing for Machine Learning implementation?
30.
Which of the following is an example of a sharp question?