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Red Hat Mock Interview

Question 23 of 28 for our Red Hat Mock Interview

Red Hat was updated by on February 26th, 2020. Learn more here.

Question 23 of 28

Do you have experience utilizing Bayesian networks in designing artificial intelligence?

"I do have very direct experience in creating Bayesian networks and I've done so in the healthcare industry over the past couple of years. One that we designed looked at all of the potential symptoms and effects of heart disease and built this all into a very complicated Bayesian network. With this given, we were able to create an AI program for a health insurer that could program in known information from their insured individuals to gauge their probability for heart disease."

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How to Answer: Do you have experience utilizing Bayesian networks in designing artificial intelligence?

Advice and answer examples written specifically for a Red Hat job interview.

  • 23. Do you have experience utilizing Bayesian networks in designing artificial intelligence?

      How to Answer

      Because of their ability to provide a graphical model for relationships among a set of variables, Red Hat is a firm believer that Bayesian networks are a critical part of their artificial intelligence design. To fortify your knowledge of the networks, give a high level overview of your understanding of them and also talk about any experience you have in utilizing them. Make sure your interviewer walks away from your conversation knowing that you are able to utilize Bayesian networks in your future work with Red Hat.

      Written by Ryan Brunner on February 26th, 2020

      Answer Example

      "I do have very direct experience in creating Bayesian networks and I've done so in the healthcare industry over the past couple of years. One that we designed looked at all of the potential symptoms and effects of heart disease and built this all into a very complicated Bayesian network. With this given, we were able to create an AI program for a health insurer that could program in known information from their insured individuals to gauge their probability for heart disease."

      Written by Ryan Brunner on February 26th, 2020