AI Bootcamp XII - Intro to ML
- Internal Event
We're excited to announce that the twelfth AI bootcamp is scheduled for Oct 13 to Oct 17 2025 in Resnick 120. This session is designed for researchers who want to grasp fundamental ML concepts and explore the potential of integrating ML into their research.
What to Expect:
- Daily Structure: Each day will feature one to two lectures, complemented by two or more practical, hands-on sessions.
- Topics Covered: AI fundamentals, including regression, classification, clustering, embeddings, Industrial ML, and neural networks. We will also cover how to use more recent advances in ML, such as LLMs in your research.
- Objective: Our goal is to equip you with the necessary skills to incorporate ML tools into your research and to aid your ability to explore more advanced ML techniques independently.
Joining the Bootcamp:
- Availability: Limited to 20 participants.
- Registration: Sign up using this link and complete the pre-screening Python Programming Quiz before 12 AM Pacific Time on Oct 7th. Please note that your enrollment won't be complete until you have taken the quiz and have received a confirmation email from the bootcamp organizers.
(Optional but highly recommended) email us about yourself and your research and let us know how you think that this bootcamp can help you with your research
Prerequisites - To maximize your learning experience, familiarity with the following is required:
Linear Algebra: Vectors, matrices, vector spaces, matrix operations (The Matrix Cookbook), eigenvalues and eigenvectors, norms and distance metrics, linear transformation and basis. Covered in Ma1b, ACM104. We cover some basic linear algebra on the first day of the bootcamp to make sure everyone is on the same page before diving into machine learning concepts.
- Multivariable Calculus: Partial derivatives, integration, limits, and continuity. Covered in Ma1ac
- Probability Theory: Random variables, statistical measures, probability distributions, and bayesian inference. Covered in courses such as Ma3, ACM116, ACM157, ACM 158
- Python Programming: Basic syntax and libraries. Covered in CS1. We will cover NumPy and other important libraries during the first day.
Contact:
- Bootcamp Director Reza Sadri
- Administrative assistant: Caroline Murphy
Deadline for Registration: Oct 7, 2025
Computing Resources: Hands-on sessions will primarily utilize Google Colab. Should there be a need for more computational resources than the free tier of Colab provides, participants can opt for Colab Pro. We are in talks with Google to provide us with free Colab Pro credits for the bootcamp. If Google doesn't provide free access to Colab Pro, we will offer reimbursements for a certain number of credits.