The Math for AI course is designed for college science students, ensuring that all advanced concepts are presented clearly and build upon your expected college-level mathematical and coding proficiency.
We'll strike a balance between rigorous theoretical development and hands-on experience through exciting student projects, ensuring you not only understand how AI works but can also build it.
We'll explore fascinating topics, from Machine Learning techniques like ensemble methods to cutting-edge Neural Networks (including Transformers and Graph Neural Networks) and Generative Models (like Diffusion Models).
Prepare to apply these concepts to diverse, real-world problems, including potential applications in medical imaging classification, predicting chemical properties, and robot navigation