Lectures

You can download the lectures here. We will try to upload lectures prior to their corresponding classes.

• Introduction
  tl;dr:
  [Slides] [Lab] [Dataset description] [Dataset] [NumPy tutorial]
  

  Suggested Readings:

  • ISLR Chapter 1
  • PSDS Chapter 1
  • Top 10 Ideas in Statistics That Have Powered the AI Revolution
  • [Recorded video]
• Statistical Learning
  tl;dr:
  [Slides] [Lab] [Data]
  

  Suggested Readings:

  • ISLR Chapter 2
  • ESL Chapter 2
  • Foundations of Data Science Chapter 2
  • Just-in-time-compiler
  • MultiCore
  • GPU
  • Video for HPC
  • [Recorded video]
• Linear Regression
  tl;dr:
  [Slides] [Lab]
  

  Suggested Readings:

  • ISLR Chapter 3
  • ESL Chapter 3.1~3.3
  • PSDS Chapter 4
  • [Recorded video]
• Classification
  tl;dr:
  [Slides] [Lab]
  

  Suggested Readings:

  • ISLR Chapter 4
  • ESL Chapter 4
  • PSDS Chapter 5
  • [Recorded video]
• Resampling Methods
  tl;dr:
  [Slides] [Lab]
  

  Suggested Readings:

  • ISLR Chapter 5
  • ESL Chapter 7.10~7.11
  • PSDS Chapter 3
  • [Recorded video]
• Linear model selection and regularization
  tl;dr:
  [Slides] [Lab]
  

  Suggested Readings:

  • ISLR Chapter 6
  • ESL Chapter 7.1-7.7, Chapter3.3-3.4
  • PSDS Chapter 4
  • [Recorded video]
  • [Midterm 2020 (courtesy of professor Mei-Hui Guo)]
  • [Midterm 2019 (courtesy of professor Mei-Hui Guo)]
  • [Midterm 2018 (courtesy of professor Mei-Hui Guo)]
• Linear model selection and regularization continue
  tl;dr:
  
  

  Suggested Readings:

  • ISLR Chapter 6
  • ESL Chapter 7.1-7.7, Chapter 3.5-3.9
  • PSDS Chapter 4
  • [Recorded video]
• Moving Beyond Linearity
  tl;dr:
  [Slides] [Lab]
  

  Suggested Readings:

  • ISLR Chapter 7
  • ESL Chapter 5~6.1
  • PSDS Chapter 4
  • [Recorded video]
• Moving Beyond Linearity, Tree-Based methods
  tl;dr:
  [Slides] [Lab]
  

  Suggested Readings:

  • ISLR Chapter 8
  • ESL Chapter 9,10,15,16
  • PSDS Chapter 6
  • [Recorded video]
• Tree-Based methods
  tl;dr:
  
  

  Suggested Readings:

  • ISLR Chapter 8
  • ESL Chapter 9,10,15,16
  • PSDS Chapter 6
  • [Recorded video]
• Support_Vector_Machines
  tl;dr:
  [Slides] [Lab]
  

  Suggested Readings:

  • ISLR Chapter 9
  • ESL Chapter 6,12
  • [Machine Learning Techniques]
  • [Recorded video]
• Support Vector Machines and Unsupervised_learning
  tl;dr:
  [Slides] [Lab]
  

  Suggested Readings:

  • ISLR Chapter 9,12,14
  • ESL Chapter 6,12
  • [Machine Learning Techniques]
  • [Recorded video]
• Unsupervised_learning
  tl;dr:
  
  

  Suggested Readings:

  • ISLR Chapter 12
  • ESL Chapter 14
  • PSDS Chapter 7
  • [Recorded video]
• Unsupervised_learning
  tl;dr:
  
  

  Suggested Readings:

  • ISLR Chapter 12
  • ESL Chapter 14
  • PSDS Chapter 7
  • [Recorded video]
• Final Project Presentation
  tl;dr:
  
  

  Notice:

  • Final Project
• Final Project Presentation II
  tl;dr:
  
  

  Notice: