The objective of the program is to introduce students to machine learning and programming through a project in which they program various machine learning algorithms to recognize images and make a self-driving toy car.
The course consists of lectures covering conceptual level statistical, machine learning and programming components. Students will be introduced to various machine learning methods and algorithms. In parallel they will be introduced to the Python programming language, which will allow them to implement the concepts they have studied.
Students will participate in exercises using different methods for classifying images, and will be shown tools to continue learning and programming on their own. They will take pictures of physical objects and train their own classification algorithms including neural networks to recognize these objects. Once they achieve high-quality performance, they will install their program into a toy car equipped with a camera which will self drive using their programmed neural network.
Lunch hours will include conversations with machine learning experts from academia and industry who will share their life experiences and perspectives on data science.
Tuition: Tuition for the program is free, but students are responsible for purchase of materials. Please indicate if you require financial assistance for materials on the application.
Also if you are able to sponsor materials for another student, please consider making a donation to the CELEHS Data Science Summer Camp Fund. We encourage those who can help to provide opportunities to other students facing financial hardship.
Equipment Needed: List of materials required
The program is hosted by the Prediction Analytics Research Solution and Execution (PARSE), a non-profit research organization, and co-sponsored by the Translational Data Science Center for a Learning Health System (CELEHS) at Harvard. It is taught by a team of data science researchers including faculty members from Harvard and the University of Toronto as well as PhD students. Teaching assistants will provide programming and technical support.
For more information, please contact Amanda King (firstname.lastname@example.org).
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