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EE499
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Course Overview
Introduction to Machine Learning
Zero-Order Optimization Techniques
First-Order Optimization Techniques
Second-Order Optimization Techniques
Linear Regression
Linear Two-Class Classification
Linear Multi-Class Classification
Linear Unsupervised Learning
Feature Engineering and Selection
Principles of Non-linear Feature Engineering
Principles of Feature Learning
Kernel Methods
Fully Connected Neural Networks
Tree-Based Learners
Syllabus
Course Overview
Fully Connected Neural Networks