For humans and machines, intelligence requires making sense of the world — inferring simple explanations for the mishmosh of information coming in through our senses, discovering regularities and ...
Software engineer Sai Bhargav Yalamanchi notes that mathematical tools helping practitioners interpret uncertainty have ...
The key idea behind the probabilistic framework to machine learning is that learning can be thought of as inferring plausible models to explain observed data. A machine can use such models to make ...
Improving the prediction of survival indicators in patients with breast cancer using tools from artificial intelligence and probabilistic modeling is the aim of ModGraProDep, an innovative system ...
The downward trend in the amount of Arctic sea ice has a wide range of environmental and economic consequences including important effects on the pace and intensity of global climate change. Based on ...
This important study reports three experiments examining how the subjective experience of task regularities influences perceptual decision-making. Although the evidence linking subjective ratings to ...
This course is part of a three-course sequence on statistical learning models, which also includes Predictive Analytics I and Predictive Analytics II. This course ...
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