🎓Introductory BayesiaLab Course — April 8–10, 2024
Three-Day Introductory BayesiaLab Course
The Graduate Cincinnati, 151 Goodman Drive, Cincinnati, Ohio 45219
April 8–10, 2024
Since 2009, our BayesiaLab courses and events have spanned the globe. From New York to Sydney, Paris to Singapore, we've touched down in cities worldwide (take a peek at our photo gallery!).
BayesiaLab Courses Around the World
We're excited to launch our 2024 course program at The Graduate Cincinnati. Located at the heart of the vibrant University of Cincinnati campus, this former Marriott Kingsgate Conference Center has been transformed with an 'upscale funky' vibe.
The Introductory BayesiaLab Course is more than just a beginner's guide. It's a deep dive into applying Bayesian networks across diverse fields, from marketing science and econometrics to ecology and sociology. And we don't just stick to theory. Every conceptual lesson transitions seamlessly into hands-on practice with BayesiaLab, allowing you to apply what you've learned directly, whether in knowledge modeling, causal inference, machine learning, or more.
Over 1,500 researchers worldwide can vouch for its impact, many of whom have made Bayesian networks and BayesiaLab integral to their research. Don't just take our word for it - check out the testimonials!
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, which has since emerged as the leading software package for knowledge discovery, data mining, and knowledge modeling using Bayesian networks. BayesiaLab enjoys broad acceptance in academic communities, business, and industry.
FAQ
What is the course format?
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.
Who should attend?
Applied researchers, statisticians, data scientists, data miners, decision scientists, biologists, ecologists, environmental scientists, epidemiologists, predictive modelers, econometricians, economists, market researchers, knowledge managers, marketing scientists, operations researchers, social scientists, students and teachers in related fields.
What background is required?
Basic data manipulation skills, e.g., 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.
For a general overview of this field of study, we suggest you read our free e-book, Bayesian Networks & BayesiaLab. Although not mandatory, reading its first three chapters would be an excellent preparation for the course.
Can I attend this course remotely?
No, this is an in-person course, and you will need to be present in the classroom.
What do I need to bring?
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.
What is the cancellation and refund policy?
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
Hotel Reservations
We have secured a block of guest rooms at The Graduate Hotel for the duration of the Introductory Course. You can take advantage of a special BayesiaLab rate of $159/night, plus taxes and fees. Click the following link to access The Graduate Hotel's reservation site and secure the special rate for your stay.
