Summer Machine Learning Boot Camp
The Ken Kennedy Institute hosts an annual boot camp each summer taught by Rice University faculty and associates. The next Machine Learning Boot Camp is planned for May 2025, focused on building ML knowledge and familiarity for executives and beginners.
There will not be a summer boot camp this year — the next version will be available in 2025. View information about previous versions of the boot camp below.
Focus: Machine Learning for Executives and Beginners
- Location: BioScience Research Collaborative at Rice University | Houston, TX
- Topics: Fundamentals of ML, basic methods, deep learning and advanced deep learning
- 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.
The program highlights 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 provides practical suggestions to executives with dos and don'ts when using ML in practice.
More information available at: http://bootcamp.rice.edu/
