machine learning team.

the machine learning program is meant for students with an interest in coding, building intelligent systems, and applying data-driven models to real-world business and technical problems. through hands-on projects, invigorating lectures, and applicable deliverables, participants develop a strong foundation in machine learning concepts, python-based modeling, and applied ai, while exploring how ml is used across industries.

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program description.
develop skills in applying state of the art models while working with experienced leaders in the machine learning and tech fields.

technical training.

learn the foundations of essential machine learning models, including supervised and unsupervised learning, feature engineering, model evaluation, and basic deep learning using tools taught during the program, such as pytorch, tensorflow, cuda, and huggingface.

applied projects.

work in small teams with an experienced project manager guiding you through designing, training, and deploying machine learning models on real datasets to solve real-world problems.

post grad.

after graduating from the project, you’ll have the opportunity to work directly with corporate sponsors(imasons, cato.ai, ocp, etc.) and go to leading tech conferences.

community involvement.

join a collaborative cohort of students passionate about machine learning, contribute to workshops and events, and become part of the broader analytics and ai community at nyu.

example projects.

Coming soon...