ECE 175AElements of Machine Intelligence: Pattern Recognition and Machine Learning
Introduction to pattern recognition and machine learning. Decision functions. Statistical pattern classifiers. Generative vs. discriminant methods for pattern classification. Feature selection. Regression. Unsupervised learning. Clustering. Applications of machine learning.
Prerequisites
You need one from each line:
Where it sits in degree plans
Required in (1)
- Electrical Engineering (B.S.)
One of the options in (1)
- Artificial Intelligence
Courses that list ECE 175A as a prerequisite (7)
- COGS 118A Supervised Machine Learning Algorithms
- COGS 118B Introduction to Machine Learning
- COGS 118D Computational Modeling and Analysis of Human Behavior
- COGS 181 Neural Networks and Deep Learning
- COGS 182 Introduction to Reinforcement Learning
- CSE 151B Deep Learning
- ECE 175B Elements of Machine Intelligence: Probabilistic Reasoning and Graphical Models