BayesiaLab 101 is a short course introducing you to Artificial Intelligence with Bayesian networks for research, analytics, and reasoning. "Bayesian Networks have become one of the most complete, self-sustained and coherent formalisms used for knowledge acquisition, representation and application through computer systems." Hence, this class is a must for innovators, engineers, and scientists in today's knowledge-based economy. The objective of BayesiaLab 101 is that you become familiar with the
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Here is a Video of our recent seminar on Key Drivers Analysis & Optimization with Bayesian Networks & BayesiaLab (recorded on February 20, 2017, at Indiana Wesleyan University in Cincinnati, Ohio). | Bayesia USA | Facebook
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Here is a Video of our recent seminar on Key Drivers Analysis …
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A super-quick overview of BayesiaLab's capabilities for discovering knowledge in high-dimensional domains. We utilize the unsupervised learning algorithms of the BayesiaLab 5.0 software package to automatically generate Bayesian networks from daily stock returns over a six-year period. | Bayesia USA
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A super-quick overview of BayesiaLab's capabilities for disc…
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Webinar Recording: From Survey Data to Decision Support with Bayesian Networks
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Dr. Lionel Jouffe explains the new features of BayesiaLab 8 at the 6th Annual BayesiaLab Conference in Chicago. https://www.bayesia.com/bayesialab8 | Bayesia USA
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16 pages of documentation condensed into a 3-minute video. Watch how you can quickly build a Bayesian network and perform inference with BayesiaLab. | Bayesia USA | Facebook
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