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Machine Learning (머신러닝)


POSTECH
Enrollment is Closed

강좌 소개

데이터를 분석하기 위한 기계학습 기법들을 공부한다. 기계학습에 중요한 알고리즘에 대한 이론과 파이썬을 이용한 실습을 동시에 진행한다. 선형대수, 최적화에 대한 기초를 공부한 후 regression, classification (perceptron, SVM, logistic regression), clustering (K-means), dimension reduction (PCA), artificial neural network 이론을 공부한 후 python 을 활용한 알고리즘 구현을  목표로 한다.
※ 수업진행과 과제를 수행하기 위해서 파이썬 사용 필수.


평가 방법

  • ㅇ온라인 강의 Quiz성적: 30%
  • ㅇ숙제: 30%
  • ㅇ시험: 40%
    •    - 중간고사 20%, 기말고사 20%  

강좌 목차

주차주차
1Linear Algebra 1사용되는 프로그램 설치
Linear 1-1
Linear 1-2
Linear 1-3
Lecture Note
Discussion
2Linear Algebra 2Linear 2-1
Linear 2-2
Linear 2-3
Linear 2-4
Lecture Note
Discussion
3Linear Algebra 3Linear 3-1
Linear 3-2
Lecture Note
Discussion
Homework
4OptimizationOptimization 1
Optimization 2
Optimization 3
Optimization 4
Lecture Note
Discussion
5RegressionRegression 1-1
Regression 1-2
Regression 2-1
Regression 2-2
Regression 3-1
Regression 3-2
Lecture Note
Discussion
Homework
6Classification - PerceptronPerceptron 1
Perceptron 2
Lecture Note
Discussion
7Support Vector MachineSVM 1
SVM 2
SVM 3
SVM 4
Lecture Note
Discussion
8Logistic regressionLogistic regression 1
Logistic regression 2
Logistic regression 3
Logistic regression 4
Lecture Note
Discussion
9Clustering - K-meansClustering 1
Clustering 2
Clustering 3
Lecture Note
Discussion
Homework
10Mid term exam (5/25)Mid term exam
11Statistics & Monte Carlo SimulationStatistics 1
Statistics 2
Statistics 3
Statistics 4
Monte Carlo Simulation
Lecture Note
Discussion
12Principal Component Analysis & Fisher Discriminant AnalysisPrincipal Component Analysis 1
Principal Component Analysis 2
Principal Component Analysis 3
Fisher Discriminant Analysis 1
Fisher Discriminant Analysis 2
Lecture Note
Discussion
13(Artificial) Neural Networks in TensorFlow 1Neural Network 1-1
Neural Network 1-2
Neural Network 1-3
Neural Network 1-4
Lecture Note
Discussion
Homework
14(Artificial) Neural Networks in TensorFlow 2Neural Network 2-1
Neural Network 2-2
Discussion
15Final Exam (6/29)Final Exam
Solution


교수자

이승철

포스텍 기계공학과 교수

UNIST 기계항공및원자력공학부 교수

UNIV. OF MICHIGAN DEPT. OF MECHANICAL ENGINEERING 교수

UNIV. OF MICHIGAN Mechanical Engineering 박사


조교

전주형

포스텍 기계공학과


  1. Course Number

    DSC502
  2. Classes Start

  3. Classes End

  4. Estimated Effort

    4
  5. Price

    원499000