NYU Steinhardt offers professional training in the performing arts through intensive summer workshops. Taught by Steinhardt faculty and industry professionals, students 16 years old or older can hone their craft in one of more than a dozen artistic tracks, including vocal performance, instrumental performance, screen scoring, and music technology. ..(more)
- Listing Type: Summer Programs
- Destination: United States
- Program Delivery: Day, Residential
- Provided By: College
- Session Start: June, July, August
- Session Length: Two Weeks
- Entering Grade: 9th, 10th, 11th
- Gender: Coed
- Category: STEM
- Sub-Categories: STEM, Computer Science, Robotics, Mathematics, Engineering
- Selective: No
- Ages: 14, 15, 16, 17
- Minimum Cost: $1,500 - $2,999
- Credit Awarded: No
NYU Tandon’s Machine Learning summer program offers high school students the opportunity to develop and apply practical skills in the cutting-edge fields of machine learning and artificial intelligence.
NYU’s Tandon Machine Learning summer program is a two-week online course introducing high school students to the computer science, data analyses, mathematical techniques, and logic that drive the fields of machine learning and artificial intelligence. People experience new and improved applications in these fields in more aspects of daily life every day: in video and image recognition technologies; interactive voice controls for homes; autonomous vehicles; real-time monitoring and traffic control; and cutting-edge diagnostic medical technologies.
This program offers a unique opportunity to learn directly from some of today’s most innovative researchers in the field. Students will learn the core principles in machine learning such as model development through cross-validation, linear regressions, and neural networks. They will develop an understanding of how logic and mathematics are applied both to “teach” a computer to perform specific tasks on its own and to continuously improve computer task performance along the way.
The program is suited for academically strong students who have an interest in computer and data science and the ways in which they are used in society to develop new capabilities, services, and products. No prior experience in computer science is required.