机械课程

course description

NYU Tandon's Summer Program for Machine Learning introduces high school students to the computer science, data analyses, mathematical techniques, and logic that drive the fields of machine learning (ML) and artificial intelligence (AI). People are experiencing new and always improving applications of these fields every day: in video and image recognition technologies; interactive voice controls for homes; autonomous vehicles; real-time monitoring and traffic control; cutting-edge diagnostic medical technologies; and in ever more aspects of our daily lives.

 

The 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 improve continuously at doing so 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.

 

课程介绍

纽约大学坦顿分校的机械暑期课程向高中生介绍计算机科学、数据分析、数学技术和底层逻辑，和理解机器学（ML）与人工智能（AI）领域的底层逻辑。人类每天都在体验这些领域时不断改进其新应用，包括视频和图像识别技术；家庭互动语音控制；自动驾驶汽车；实时监控和交通管控；尖端诊断医学技术等各个方面。

 

本课程为学生提供一个独特的机会，使他们直接向当今该领域最优秀的研究人员学习。学生将通过交叉验证、线性回归和神经网络开发模型去学习机器学的核心原则例如模型开发，并了解逻辑和数学如何应用于“教”计算机独立执行特定任务和在过程中的自我改进。

 

本课程适用于对计算机和数据科学兴趣高、学术能力强的学生，并帮助他们更好的了解这些领域在社会中用于开发新能力、服务和产品的方式。

课程时间：

S1: 6.21-7.01

S2: 7.11-7.22

S3: 8.01-8.12

入学资格：

- Algebra 2，编程经验

- 托福