CS/CNS/EE/IDS 155
Machine Learning & Data Mining
Machine Learning & Data Mining
12 units (3-3-6)
|
first term
Prerequisites: Background in algorithms, linear algebra, calculus, probability, and statistics is highly recommended..
This course will cover popular methods in machine learning and data mining, with an emphasis on developing a working understanding of how to apply these methods in practice. The course will focus on basic foundational concepts underpinning and motivating modern machine learning and data mining approaches. We will also discuss recent research developments.
Instructor:
Yue