Learning Machines with Richard Golden
Dec 08, 2015•56 min
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Episode description
“When I was a graduate student, I was sitting in the office of my advisor in electrical engineering and he said, ‘Look out that window – you see a Volkswagon, I see a realization of a random variable.’ ”
Richard Golden is the host of Learning Machines 101, a podcast that covers artificial intelligence and machine learning topics. Dr. Golden is also a full-time Professor of Cognitive Science and Electrical Engineering at UT Dallas.
Questions- What is machine learning?
- What are the fundamental concepts to build artificial intelligence?
- How do you define a rule in the domain of machine learning?
- How can a machine learning system estimate the probability of something it has not seen?
- Could you explain how ML could be applied to real world healthcare scenarios?
- What is a neural network?
- What is the difference between natural and artificial intelligence?
- Bayesian Model Averaging
- Frequentist Model Averaging
- McCulloch-Pitts Formal Neurons
- Dr. Golden’s Professor Page
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