Analytical Trainee Interview Questions and Answers

Machine learning algorithms are computational models that learn patterns from data to make predictions or decisions.

• Machine learning algorithms can be categorized into supervised, unsupervised, and reinforcement learning.

• Supervised learning algorithms learn from labeled data, such as linear regression or support vector machines.

• Unsupervised learning algorithms find patterns in unlabeled data, like clustering algorithms or principal component analysis.

• Reinforcement learning al...read more

Identifying frauds involves analyzing patterns, anomalies, and inconsistencies in data to detect suspicious activities.

• Look for unusual patterns or trends in financial transactions

• Monitor for duplicate or unauthorized transactions

• Verify the legitimacy of vendors or customers

• Conduct regular audits and reviews of financial records

• Utilize data analytics tools to identify potential fraud indicators