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Coading Test (5)
Competetion (1)
Deep learning (6)
Linear Algebra (10)
Numpy & Pandas (1)
Paper study (8)
Probability&Statistics (4)
Python (1)
Reinforcement Learning (7)
Visualization (1)
numpy (1)
 
예제
 
구구단

[Probability & Statistics] Bias Variance Tradeoff

[Linear Algebra] Appendix
 
implementation
 
Untitled
 
Untitled
 
Namespace
 
Policy Approximation and its Advantages
 
Bellman Equation
 
DQN with CartPole
 
Basic Setup
 
Basic Setup
 
Basic Setup
 
Basic Setup
 
Basic Setup
 
Basic Setup

Greed World Problem
 
 
 
 
모집단과 표본
 
통계량의 분포
 
예시 - 1 4개중 3개 맞힘

Background
 
A/B test
 
Overview
 
부트스트랩
 
통계량의 정확한 분포
 
Untitled
 
 
1부터 10까지의 합 계산
 
 
선형회귀모형
 
 
 
 
6-1 표본과 경험적 분포 요약

[Reinforcement Learning] 1. Dynamic Programming

[Paper Study] AutoAugment : Learning Augmentation Strategies from Data
field : CV,RL
understanding : 😃😃
 
[Paper Study] Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms
field : RL
understanding : 😃😃

[Coading Test] 문자열 나누기
level : 1

[Coading Test] k번째수
level : 1

[Paper Study] Neural Machine Translation by jointly learning to align and translate
field : NLP
understanding : 😃😃😃
 
[강화학습] Simple Bandit Algorithm Implementation
Reinforcement Learning: An Introduction 2.4절 중 Simple Bandit Algorithm psuedo code 구현

[Paper-study] Batch Normalization
field : core
understanding : 😃😃😃

[pandas] map,apply,applymap 비교

Sequence to Sequence Learning with Neural Networks

Auto-Encoding Variational Bayes(작성중)
 
[강화학습] Introduction

Genarative Adversarial Nets

[Linear Algebra] 6-2.EVD & Property

[Linear Algebra] 6-4.Quadratic Form

[Linear Algebra] 6-3.EVD of symmetric matrix

DQN

[Linear Algebra] 6-1.Eigenvalue & Eigenvector

[강화학습] 2-1 Markov Decision process and property
MDP와 중요한 property 정리
 
[강화학습] 1 - 강화학습 용어정리
강화학습 공부하면서 용어정리
 
[강화학습] 1 - 강화학습 용어정리
강화학습 공부하면서 용어정리

[강화학습] 2-2 Reward & Return & State Value f & Action Value f

[PRML 읽기] 1 - 확률론 개요
Sum rule, Product rule, Baye’s rule,random variable independence
 
[PRML 읽기] 2 - 확률론 개요(작성중 …)
probability density, expectation and covariance, Bayesian probabilities,Gausian distribution

Dimension Reduction using Auto Encoder with pytorch

[Coading Test] 시저암호
level : 1

[Coading Test] 이상한 문자 만들기
level : 1

[Coading Test] 크기가 작은 부분 문자열
level : 1

[Linear Algebra] 5.Least Squares
 
확률론 용어정리
random variable,event,sample space,probability distribution,randomsample,realization

Finite Difference Method with np.gradient

plotly 시각화 모음

[Linear Algebra] 4.Ax=b의 해의 갯수

[Linear Algebra] 3.rank & null space(kernel)

[Linear Algebra] 2.Linear Combination & Span

[Linear Algebra] 1.행렬곱에 대한 여러가지 관점
 
Multinomial Logistic Regression & Softmax Regression
 
카테고리 분포

MLE & MAP (작성중)
 
확률분포에서 ;와|의 사용

Logistic Regression

파이썬 - 변수,할당문,인터닝

Linear Regression
 
pytorch로 Rnn구현하기
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