EECE454: Intro to ML Systems (Fall 2024) #

Team #

• Instructor. Jaeho Lee 이재호 ✉️
• TA. Minjae Park 박민재 ✉️

Location & Time #

• Class. Mondays/Wednesdays, 09:30–11:00 @ Eng Bldg 3, Room 115
• Office Hr. Wednesdays, 16:00–17:00 @ Eng Bldg 2, Room 323

Schedule (tentative) #

• W1. Introduction / Basic Linear Algebra
  (9/2, 9/4)
• W2. Basic Probability / Supervised Learning and Linear Regression
  (9/9, 9/11)
• W3. Chuseok holidays
  (9/16, 9/18)
• W4. Simple Classifiers / Support Vector Machines
  (9/23, 9/25)
• W5. Kernel SVM / K-Means Clustering
  (9/30, 10/2)
• W6. Gaussian Mixture Models
  (10/7, 10/9)
• W7. Dimensionality Reduction
  (10/14, 10/16)
• Virtual. Decision Tree
  (Video 1, Video 2)
• W8. Mid-Term
  (10/21, 10/23)
• W9. Deep Learning Basics / Convolutional Networks
  (10/28, 10/30)
• W10. Backprop / Neural Network Training
  (11/4, 11/6)
• W11. Neural Network Training
  (11/11, 11/13)
• W12. Deep ConvNets / Generative Models
  (11/18, 11/20)
• W13. Generative Models / Language Models
  (11/25, 11/27)
• W14. Language Models / Multimodal Learning
  (12/2, 12/4)
• W15. Efficient ML / Deep Learning Theory
  (12/9, 12/11)
• W16. Final Project Presentation
  (12/16, 12/18)