Event Phone: 1-610-715-0115

Cancellation Policy: If you cancel your registration at least two weeks before the course is scheduled to begin, you are entitled to a full refund (minus a processing fee of $50).

In the unlikely event that Statistical Horizons LLC must cancel a seminar, we will do our best to inform you as soon as possible of the cancellation. You would then have the option of receiving a full refund of the seminar fee or a credit towards another seminar. In no event shall Statistical Horizons LLC be liable for any incidental or consequential damages that you may incur because of the cancellation.

A 4-Day Livestream Seminar Taught by Bruce Desmarais, Ph.D.

The role of advanced machine learning techniques in both academic and industry settings is rapidly expanding. While foundational methods cover basic predictive modeling, regression, and variable selection, many tasks require more sophisticated strategies to address challenges that often arise in applied research settings. These include missing data, causal interpretation, differences between new generative AI methods and conventional ML techniques, and resource limitations. In this advanced seminar, we cover four key areas that push beyond standard machine learning workflows to address these issues.

Through this advanced seminar, you will learn how to:

1. 1. Manage incomplete data and the biases it can introduce.
   2. Uncover causal relationships and treatment effects using double machine learning.
   3. Work with large language models via transformer-based architectures.
   4. Employ active learning to streamline both measurement and model training.

By combining engaging lectures with practical exercises, this workshop will build your skills in modern machine learning methods, equipping you to tackle complex data problems in research and applied settings.