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NYU Shanghai: Introduction to Machine Learning Spring 2019

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Machine learning, and in particular deep learning, is at the core of all the excitement surrounding modern AI. It is a fast-moving field at the intersection of computer science, mathematics, probability and statistics, and optimization. It has been used in many consumer applications including Google Translate, Amazon Alexa, face recognition apps, Netflix recommendations, and self-driving cars. In this class, students will learn about the theoretical foundations of machine learning and how to use machine learning to solve real-world data-driven problems. We will apply machine learning to numerical, textual, and image data. The first half of the course will focus on basic machine learning concepts and some classic machine learning algorithms. The second half of the course will focus on neural networks and deep learning. In addition to two exams, the course will have six or seven homework assignments and a final project. The final project, as well as many of the homework assignments, wi

NYU Shanghai: Introduction to Machine Learning Spring 2019 Search this site Embedded Files Skip to main content Skip to navigation Course Professor: Keith W. Ross , keithwross@nyu.edu Office hours: Thursdays 4:00pm-5:00pm and by appointment Room 1415 Recitation Instructor: Yanqiu (Autumn) Wu; yanqiu.wu@nyu.edu Office hours: Tuesday 1-3pm, Thursday 1-3pm Room 709 first 1-2 weeks; then room 1233 Also available by appointment Che Watcher Wang, Room 1233, cw1681@nyu.edu Learning Assistant: Zijie Lu, zijie.lu@nyu.edu Office hours: Wednesday: 3:30pm- 5pm, Thursday: 3:15pm- 5pm Room : Academic Resour

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