Decision Science Analyst Interview Questions and Answers

The RAG pipeline is a systematic approach to categorize and prioritize risks based on their impact and likelihood.

• RAG stands for Red, Amber, Green which represent high, medium, and low risk levels respectively.

• The pipeline involves assessing risks, assigning them a RAG status, and then taking appropriate actions based on the categorization.

• It helps in identifying critical risks that need immediate attention and resources.

• The RAG pipeline can be implemented using risk assessme...read more

Yes, one example of a machine learning model deployed in production is a recommendation system used by e-commerce websites.

• Recommendation system for e-commerce websites

• Fraud detection model for financial institutions

• Customer segmentation model for marketing campaigns

Transformers architecture is a type of deep learning model that utilizes self-attention mechanisms.

• Transformers consist of an encoder and a decoder, each composed of multiple layers of self-attention and feedforward neural networks.

• Self-attention allows the model to weigh the importance of different input tokens when making predictions.

• Transformers have been widely used in natural language processing tasks such as machine translation, text generation, and sentiment analysis.