Machine Learning Systems Design
Spring 2023, Group 1;
Computer Engineering Department,
Sharif University of Technology,
Tehran,
Tehran Province,
Iran
Classes: Saturday and Monday, 16:30-18:00
The purpose of this course is to empower students to research in the development of a complete cycle of making an intelligent model for use in a commercial product. Unlike the classic course of machine learning, in this course the automation of this cycle, and its challenges in industrial applications is desired. This cycle includes all practical components such as data collection and labeling, data preprocessing, scalable model development, system evaluation, deployment, and system monitoring, and detecting and dealing with data distribution changes. In the end, the student is expected to be able to automatically launch and maintain one of these cycles in a real-world problem with the help of the tools and techniques introduced in the course, as well as the ability to research in the systemic fields of machine learning. get the
Syllabus