Chapter 1 – Introduction to Machine Learning in Pentesting

1. Although machine learning is an interesting concept, there are limited business applications in which it is useful.

False

2. Machine learning applications are too complex to run in the cloud.

False

3. For two runs of k-means clustering, is it expected to get the same clustering
   results?

No

4. Predictive models having target attributes with discrete values can be termed as:

Classification models

5. Which of the following techniques perform operations similar to dropouts in a
   neural network?

Bagging

6. Which architecture of a neural network would be best suited for solving an image recognition problem?

A convolutional neural network

7. How does deep learning differ from conventional machine learning?

Deep learning algorithms can handle more data and run with less supervision from data scientists.

8. Which of the following...