ML-1

1) What is machine learning?

•     Machine learning is the science of getting computers to act without being explicitly programmed.

•              Machine Learning is a form of AI that enables a system to learn from Data.

• Both A and B.

• None of the above.

Answer explanation

1) Machine learning is an application of  ___________.

•   Block chain.

• Artificial Intelligence.

• c)    Both A and B.

• None of the above

Answer explanation

3) Application of Machine learning is __________.

• Email filtering

• Sentimental Analysis

• Face Recognition

• All of the above

Answer explanation

SUPER

5) Machine learning approaches can be traditionally categorized into __ categories.

• 4

• 3

• 5

• 2

7) ___ is the machine learning algorithms that can be used with labeled data.

a) 

b)

c) 

d)

• Regression algorithms

• Clustering algorithms

• Association algorithms

• All of the above

Suppose an online shoe store wants to create a supervised ML model that will provide personalized shoe recommendations to users. That is, the model will recommend certain pairs of shoes to Marty and different pairs of shoes to Janet. The system will use past user behavior data to generate training data. Which of the following statements are true?

• "Shoes that a user adores" is a useful label.

• "The user clicked on the shoe's description" is a useful label.

• "Shoe size" is a useful feature.

• "Shoe beauty" is a useful feature.

Answer explanation

________ is used as an input to the machine learning model for training and prediction purposes.

    

•       Feature

•   Feature Vector

•       A and B

•       None of the above

The Real-world machine learning use cases are ___.

     

• Digital assistants

• Chat bots

• Fraud detection

• All of the above

Amongst which of the following is / are the logical operators in Python?

• and

• or

• not

• All of the mentioned above

init_tuple = [(0, 1), (1, 2), (2, 3)]

result = sum(n for , n in inittuple)

print(result)

• 3

• 6

• 9

• Nothing gets printed.