Semantic & Causal Networks with GenAI: Knowledge Discovery with Hellixia
This course introduces Hellixia, BayesiaLab's specialized tool for knowledge discovery with GenAI.
Date and time
Location
Spaces - Miami Beach - Lincoln Road
1111 Lincoln Road Miami Beach, FL 33139Refund Policy
About this event
- 8 hours
About the Instructor
Dr. Lionel Jouffe is co-founder and CEO of France-based Bayesia S.A.S. Lionel holds a Ph.D. in Computer Science from the University of Rennes and has worked in Artificial Intelligence since the early 1990s. While working as a Professor/Researcher at ESIEA, Lionel started exploring the potential of Bayesian networks.
After co-founding Bayesia in 2001, he and his team have been working full-time on the development of BayesiaLab. Since then, BayesiaLab has emerged as the leading software package for knowledge discovery, data mining, and knowledge modeling using Bayesian networks. It enjoys broad acceptance in academic communities, business, and industry.
Frequently asked questions
Statisticians, data scientists, data miners, decision scientists, environmental scientists, epidemiologists, econometricians, economists, market researchers, knowledge managers, marketing scientists, operations researchers, social scientists, students and teachers in related fields.
The course is an instructor-led classroom-based program with a maximum of 15 participants. The small group size allows for one-on-one coaching during the hands-on exercises and facilitates a lively dialog between participants.
You must bring your own notebook or laptop computer running a 64-bit version of Windows or macOS. Before the course, you will receive download and activation instructions for BayesiaLab, so that your setup is ready to go when the course starts. A mouse as a pointing device is highly recommended.
No, this is an in-person course, and you will need to be present in the classroom.
You may cancel your registration for a full refund of the course fees up to 30 days before the start of the course. If you cancel within 30 days of the event, your course fee will not be refunded. However, you will be able to apply 100% of the paid course fees towards future BayesiaLab courses
t.b.a.
Basic data manipulation skills, e.g., creating pivot tables with Excel. No prior knowledge of Bayesian networks is required. No programming skills are required. You will use the graphical user interface of BayesiaLab for all exercises.
Yes, the 1111 Lincoln Road Building features a large parking garage. Please see the garage website for details: https://www.legacyparking.com/facilities/1111-lincoln-road-parking. Note that you can book your parking ahead of time and secure a discount.