The program combines academic lessons with hands-on projects, taught by prestigious NYU Tandon School of Engineering faculty and graduate student instructors, offering a strong foundation in a promising STEM field.
The NYU Machine Learning (ML) Program is a two-week, full-day summer program designed for high school students to build a foundational understanding of computer science, data analysis, mathematical techniques, and logic essential to machine learning and artificial intelligence. The curriculum covers how technologies like video and image recognition, interactive voice controls, autonomous vehicles, and diagnostic medical technologies function. Students will learn core ML principles such as model development through cross-validation, linear regressions, and neural networks. The program emphasizes engineering problem-solving and applying these techniques to societal challenges. Participants will engage in daily assignments and weekly projects, including hands-on ML programming and data analysis techniques, culminating in a project where they might build a car classification model. The program aims to provide both theoretical knowledge and practical skills, preparing students for further study or careers in machine learning.
A typical day runs from 9 a.m. to 4 p.m., broadly divided into classes, daily assignments, and weekly projects.
This program is ideal for ambitious high school students (grades 9-11) with a minimum 3.0 GPA who have completed Algebra 2 and have some programming experience, and are looking to enhance their theoretical and practical knowledge of machine learning.
NYU Tandon School of Engineering, Washington Square Park campus, New York City
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