Class Type

  • Flipped Learning

Language

  • Lecture: Korean
  • Material: English & Korean

Textbook

  • C. Bishop, Pattern Recognition and Machine Learning
  • Aurélien Géron, Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

Schedule

Lecture videos: pre-class

Lecture slide: pre-class

  • Preclass 01 | Introduction to Machine Learning I (slide, note)
  • Preclass 02 | Introduction to Machine Learning II (slide, note)
  • Preclass 03 | Linear Algebra (slide, note)
  • Preclass 04 | Probability (slide, note)
  • Preclass 05 | K-Means Clustering (slide, note)
  • Preclass 06 | Mixture of Gaussian Clustering (slide, note)
  • Preclass 07 | Convex Optimization (slide, note)
  • Preclass 08 | Dual Problem and KKT Conditions (slide, note)

Lecture videos: in-class

Lecture slide: in-class

  • Inclass 01 | Course Introduction
  • Inclass 02 | Python Basics
  • Inclass 03 | Python Advances
  • Inclass 04 | K-Means Clustering (note)
  • Inclass 05 | Mixture of Gaussian Clustering (note)
  • Inclass 06 | Linear Regression (slide, note)
  • Inclass 07 | Normal Equation (slide, note)
  • Inclass 08 | Gradient Descent (slide, note)
  • Inclass 09 | Polynomial Regression and Regularization
  • Inclass 10 | Linear Classification and Perceptron Method (slide, note)
  • Inclass 11 | Logistic Regression (slide, note)

Last Updated on September 29, 2021