Download IE 7374 Spring Syllabus PDF Free - Full Version
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About IE 7374 Spring Syllabus
This document provides an overview of the IE 7374 Machine Learning in Engineering course. The course covers both theoretical and practical aspects of machine learning through supervised and unsupervised algorithms. Topics include linear regression, neural networks, clustering, dimensionality reduction, and more. Students will implement machine learning models in Python and Tensorflow. The course aims to teach machine learning techniques and applications in areas such as computer vision, natural language processing, and robotics. Evaluation will be based on homework, exams, and a final project.
Detailed Information
| Author: | ['Arnold Zhang'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 5 |
| Language: | English |
| Format: | |
| Price: | FREE |
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