Your company has provided you with a database of bank transactions, including user ID, transaction type, location, and amount. You're asked to explore machine learning applications for this data. Which three machine learning approaches could you apply? (Select three.)

Real Exam

Clustering to categorize transactions into N groups based on feature similarity.

50.0%

Unsupervised learning to identify transactions likely to be fraudulent.

44.4%

Supervised learning to forecast the location of a transaction.

0.0%

Supervised learning to detect fraudulent transactions.

0.0%

Reinforcement learning to estimate the location of a transaction.

5.6%

Unsupervised learning to estimate the location of a transaction.

Google Professional Data Engineer