Seoyeon’s Blog for classes
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Posts
Machine Learning basic
Support Vector Machine
Logistic Regression
Principal Component Analysis
Lasso and Ridge
Ridge Regression
Ensemble and Random Forest
Clustering
Expectation Maximization(EM algorithm)
Manifold learning Embedding
Attention Mechanism
Sequence-to-Sequence, seq2seq
Transformer Chatbot Tutorial
Transformers
Laplace Distribution
Advanced Regression Analysis
고급회귀분석 실습 CH03, CH04
Regression HW 1
Regression HW 2
고급회귀분석 실습 CH06, CH07
Regression HW 3
고급회귀분석 실습 CH10
고급회귀분석 실습 CH13
고급회귀분석 실습 CH11
Regression HW 4
고급회귀분석 CH10
Advanced Regression Analysis Mid Term
Advanced Regression Analysis Final Term
Advanced Regression Analysis GT
Special Topics in Machine Learning
Intro
DNN (1주차)
DNN (2주차)
Assignment 1
DNN (3주차)
DNN (4주차)
DNN (5주차)
Homework
DNN (6주차)
CNN (7주차)
CNN (8주차) 1
CNN (8주차) 2
RNN (9주차)
Midterm
RNN (10주차)
RNN (11주차)
Deep Learning final example
RNN (12주차)
A1: 깊은복사와 얕은복사 (12주차)
RNN (13주차)
Finalterm
study
Extra-1: 추천시스템
Extra-2: 생성모형(GAN)
Extra-3: 딥러닝의 기초 (5)
Advanced Probability Theory
01wk-2: 강의소개
1주차: 측도론
02wk-1: 측도론 intro (1)
02wk-2: 측도론 intro (2)
02wk: 측도론 intro (2)
03wk-1: 측도론 intro (3)
03wk-2: 측도론 intro (4)
03wk: 측도론 intro (3)
04wk-1: 측도론 intro (5)
04wk-2: 측도론 intro (6)
04wk: 측도론 intro (4)
05wk-2: HW1
05wk-1: 마코프체인 (1)
05wk: 측도론 (1)
06wk-2: 중간고사
06wk: 측도론 (2)
07wk-1: 마코프체인 (2)
07wk-2: 마코프체인 (3)
7wk: 측도론 (3)
08wk-1: 마코프체인 (4)
08wk-2: 마코프체인 (5)
08wk: 측도론 (4)
09wk-1: 마코프체인 (6)
09wk: 확률변수
10wk-2: 마코프체인 (7)
10wk: 분포, 분포함수
11wk-1: 마코프체인 (8)
11wk-2: 마코프체인 (9)
11wk: 적분 (1)
12wk-1: 마코프체인 (10)
12wk-2: 마코프체인 (11)
12wk: 적분 (2)
13wk-1: 마코프체인 (12)
13wk-2: MCMC (1)
13wk: 밀도함수
14wk-1,2: MCMC (2)
14wk: 이산형과 연속형의 통합
15wk-1: MCMC (3)
15wk: 기말고사
15wk-2: 기말고사
Anything
Survival Analysis
Hazard ratio, Odds ratio
Clinical Trial Data and Survival Analysis
Questions of PyTorch Geometric Temporal
Survival Analysis Tutorial with R
Post Hoc Tests
Steady State
Pharmacokinetic Analysis
STBDA2023 09wk-1: 중간고사_sy
정리
A1: 강화학습 (1) – bandit
A2: 강화학습 (2) – 4x4 grid
A3: 강화학습 (3) – LunarLander
Special Topics in Applied Statistics
Multicollinearity
Coding Test
Chapter 03 Greedy
Algorithm
내장함수
성격 유형 검사하기(Done)
두 큐 합 같게 만들기(Done)
코딩 테스트 공부(Done)
ArrayList & LinkedList
Stack
Queue
Tree
[Coding Test]
Python Programming HW review
Theoritical Statistics
확률변수와 확률분포
Theoritical Statistics HW1
Theoritical Statistics HW2
Theoritical Statistics HW3
Theoritical Statistics HW4
Theoritical Statistics HW5
Theoritical Statistics HW6
Theoritical Statistics Mid term
Theoritical Statistics HW7
Theoritical Statistics HW8
Theoritical Statistics HW9
Theoritical Statistics Final term
Theoritical Statistics GT
Theoritical Statistics Final term 6 Explanation
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