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Lesson Description
In this course, you will learn fundamental and practical topics in Machine Learning (ML), specifically advanced topics on neural networks, understand how to build advanced ML & neural networks, and learn how to lead successful machine learning projects. This course provides a broad introduction to machine learning pattern recognition. Topics include: Supervised Learning; Unsupervised Learning; Learning Theory; Engineering Features; and Model Evaluation and Improvement.
Weekly Schedule
Mondays 8-10, Location: Learning Management System (LMS)