Math & AI: My Dream Job - Advice Needed

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SUMMARY

The discussion centers on pursuing a career in the mathematical aspects of artificial intelligence (AI). The individual is completing an undergraduate degree in mathematics with a minor in statistics and is considering a double major in statistics before attending graduate school. Key areas of focus include Bayesian statistics and Markov statistics, which are essential for AI research and inference methodologies.

PREREQUISITES
  • Understanding of Bayesian statistics
  • Knowledge of Markov statistics
  • Familiarity with statistical inference techniques
  • Basic proficiency in mathematical concepts relevant to AI
NEXT STEPS
  • Research graduate programs specializing in statistics and AI
  • Explore advanced Bayesian statistics techniques
  • Study Markov Chain Monte Carlo methods
  • Learn about statistical inference applications in machine learning
USEFUL FOR

Students pursuing careers in artificial intelligence, mathematicians interested in statistics, and professionals seeking to deepen their understanding of the mathematical foundations of AI.

bennyska
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so, my dream job is work on the math end of artificial intelligence. i don't know how much of an option that is for me. i will be getting my undergrad degree in math with a stats minor here pretty soon, but I'm debating on getting a double major in stats and going on to grad school. does anyone have any advice for me?
 
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bennyska said:
so, my dream job is work on the math end of artificial intelligence. i don't know how much of an option that is for me. i will be getting my undergrad degree in math with a stats minor here pretty soon, but I'm debating on getting a double major in stats and going on to grad school. does anyone have any advice for me?

Statistics can play a major part in AI research. Bayesian statistics as well as markov statistics plays a large role together with inference.
 

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