This two-day boot camp will provide a broad introduction to Machine Learning (ML) for executives and beginners. Our goal is to give a manager or CEO in various industries an introduction to the essential concepts behind Machine Learning. Additionally, this boot camp is great for non-practicing beginners looking to learn. Taught by a team of Rice professors in the computational sciences, the Machine Learning Boot Camp will integrate lectures describing the basic concepts to state-of-the-art Machine Learning.

The program will highlight a broad set of concepts, ranging from classical supervised (e.g., linear regression, logistic regression and decision trees) and unsupervised methods (e.g., clustering algorithms, principal components analysis) to modern machine learning approaches (e.g., different neural network architectures, min-max games and generative models, deep reinforcement learning), with numerous case studies and applications. Throughout its duration, the boot camp will provide practical suggestions to executives with DOs and DON’Ts when using Machine Learning in practice.

General prerequisites: A general level of familiarity with mathematics is assumed, including college-level calculus, though those without this background will still find the boot camp a useful introduction to modern ML.

This is an in person event only. The boot camp will not be live streamed or recorded.

Health and Safety: The Ken Kennedy Institute is committed to the health and well-being of our boot camp attendees and staff. There is no vaccination or pre-conference test requirement; you do not have to show your vaccine card or get tested in advance to attend this boot camp. We do request if you are feeling ill, to please stay home.