Which three machine learning applications can you use?

Business owners at your company have given you a database of bank transactions. Each row contains the user ID, transaction type, transaction location, and transaction amount. They ask you to investigate what type of machine learning can be applied to the data. Which three machine learning applications can you use? (Choose three.)
A. Supervised learning to determine which transactions are most likely to be fraudulent.
B. Unsupervised learning to determine which transactions are most likely to be fraudulent.
C. Clustering to divide the transactions into N categories based on feature similarity.
D. Supervised learning to predict the location of a transaction.
E. Reinforcement learning to predict the location of a transaction.
F. Unsupervised learning to predict the location of a transaction.

Download Printable PDF. VALID exam to help you PASS.

5 thoughts on “Which three machine learning applications can you use?

  1. A,C,E

    A is not an option, you do not have the labels to solve a supervised fraud detection problem.
    E is not an option too, RL use cases is totally different.
    D suites instead of E.

  2. has to be unsupervised, since we dont have tags on the registered operations. B looks correct.
    C is also a valid choice and between e and F I’d say F but not sure on this one.

Leave a Reply

Your email address will not be published. Required fields are marked *


The reCAPTCHA verification period has expired. Please reload the page.