Machine Learning 1

A student downloads 25 PDFs on Machine Learning on her laptop. Does her laptop learn anything new?

• Yes, this is known as Machine Learning

• No, the laptop now has a lot of text data and image data but is unable to learn anything new

Dataset + ML Algorithm = ?

• ML Model

• Model deployment

• None of the above

For which of the following class of problem(s) is ML well suited?

• Problems for which existing solutions require hand-tuning or long lists of rules

• Problems for which there is no good solution using traditional approach

• Problems where the environment is constantly changing

• All of the above

ML models are characterized by ___

• Algorithm

• Dataset

• Model parameters

• None of the above

my_list = [1, 3, 5, 7, 9]

print(my_list[::2])

• [3]

• [2]

• [1, 5, 9]

• [1, 3, 5]

Which among the following three coding approaches would require the least time to execute?

• loops

• list comprehensions

• vectorized implementations

• None of the above

Which of the following is/are example(s) of unsupervised learning?

• Dimensionality reduction

• Data visualization

• Clustering

• All of the above

One major application of reinforcement learning is in the field of robotics

• True

• False

my_list = [1, 3, 5, 7, 9]
print(my_list[::-1])

• [9, 7, 5, 3, 1]

• [1, 3, 5, 7, 9]

• [9]

• [5, 7, 9]

Which of the following algorithm(s) is/are used in supervised learning tasks?

• Simple Linear Regression

• Logistic Regression

• Support Vector Machine

• All of the above