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authorJavad Roostaei , University of North Carolina, USA, Advanced Course, Seattle 2019

Had a great time attending this workshop. I have learned a lot and since it also recorded I can go through it and practice it in my own speed.


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authorDimitri Molerov, Humboldt-Universität zu Berlin, Germany, Introductory and Advanced Courses, Seattle 2019

The BayesiaLab training is an eye-opening experience and Lionel an engaging teacher. Highly recommended.


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authorRamon Xulvi, Escuela Politécnica Nacional, Ecuador, Introductory Course, Sydney 2019

Great course. If you want to learn what you can do with Bayesian Networks, attend this course.


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authorNicolas Clerc, Caterpillar, Introductory Course, Amsterdam 2019

Better come rested and with a cleared agenda as you can't afford to miss a minute.

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authorKurt Schulzke, Associate Professor of Accounting & Law, University of North Georgia, Introductory Course, Washington 2019

This is an exceptional three-day intro to Bayesian networks led by top-drawer faculty. Creating a full-dress structural equation model (SEM) in an hour sounds crazy. Because it's impossible. But not with BayesiaLab's probabilistic structural equation model (PSEM) workflow. If you're in data science and haven't experienced BayesiaLab, it's high time. Peerless supervised and unsupervised learning. BayesiaLab beats the stuffing out of traditional linear and logistic regression. No data? No problem -- use expert elicitation to build, validate and optimize your model. Three days just scratches the surface on this powerful analytical tool.

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authorPeter Capell, SEI-CMU, Introductory and Advance Advanced Courses, Pittsburgh 2017

I felt that the Bayesia product was fascinating. BayesiaLab is like no other in its capacity to reveal otherwise hidden or non-intuitive aspects of data. If I could by some surgery integrate BayesiaLab into my normal cognitive function, I would do so immediately. Lionel is a virtuoso with both his own software and Bayesian analytical strategies. However, as he mentioned during the introduction, it requires - typically - a year to become competent with the program.

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authorRahul Parakhia, Human Health Scientist, RIFM, Introductory Course, Boston 2016

Very informative theoretical and hands on practical training by an intelligent and kind teacher for anyone who want to learn how to use this very powerful tool in their field. Coming from a non-analytical background I learned a lot. Thank you!

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authorGabriel Andraos, G Squared Capital, Introductory Course, Paris 2014

The training was a truly mind-altering experience. I thoroughly enjoyed it and would recommend it to anyone interested in modeling with Bayesian Networks. Having Lionel personally deliver the course and answering any and all questions is of great business and educational value.

I'm next looking forward to the advanced course. 

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authorSteven Struhl, Harris Interactive, Introductory Course, New York City 2009

The Bayesia training session was one of the most valuable and thoughtful I have ever attended. Dr. Jouffe did an admirable job introducing and explaining Bayesian Belief Networks, an area of predictive modeling that is of rapidly increasing importance in many fields. The course adroitly mixed practical applications, case histories, and key concepts and theory, explaining the uses and remarkable power of these models. The approach was always informative and engaging, and included the best set of presentation materials I have encountered in a long time. This is a truly worthwhile course, and it also introduced a remarkable piece of analytical software. I speak as somebody who has given seminars and taught graduate courses for over twenty years; this session definitely deserves the highest praise

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