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© 2021 Seonhwa Lee. This work is liscensed under
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research blog for data science
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Deep Learning
Reinforcement Learning
Spark Programming
Time Series Analysis
Code Snippet
Signal Analysis
Deep Learning
Graph Convolutional Network에 대하여 - Spectral Graph Convolution(2)(작성 중)
06 Mar 2021
Graph Convolutional Network에 대하여 - Spectral Graph Convolution
15 Feb 2021
Introduction to Graph Neural Network - GNN 소개 및 개념
11 Feb 2021
TADA, Trend Alignment with Dual-Attention Multi-Task Recurrent Neural Networks for Sales Prediction 논문 리뷰
18 Jan 2021
A Dual-Stage Attention-Based Recurrent Neural Network for Time-Series Prediction 논문 리뷰
18 Jan 2021
Junction Tree Variational Autoencoder for Molecular Graph Generation 논문 리뷰
06 Jul 2020
Grammar Variational Autoencoder 논문 리뷰
19 Jun 2020
Reinforcement Learning
Model-Free Policy Control, Monte Carlo와 Temporal Difference에 대하여
29 Jul 2020
Model-Free Policy Evaluation, Monte Carlo와 Temporal Difference에 대하여
28 Jul 2020
Dynamic Programming, Policy Iteration부터 Value Iteration까지
13 Jul 2020
Markov Process에서 Markov Decision Process까지
12 Jul 2020
Reinforcement Learning 소개[2]
11 Jul 2020
Reinforcement Learning 소개[1]
11 Jul 2020
Spark Programming
RDD, Resilient Distributed Dataset에 대하여[3] - RDD액션, RDD 데이터 불러오기와 저장하기, 공유변수
07 Jan 2021
RDD, Resilient Distributed Dataset에 대하여[2] - RDD기본액션, RDD트랜스포메이션
07 Dec 2020
RDD, Resilient Distributed DataSet에 대하여[1]
20 Nov 2020
스파크(Spark) 소개
17 Nov 2020
Time Series Analysis
General Approach to Time Series Analysis - Time Series Data, Stationarity 등에 대하여
23 Nov 2020
Code Snippet
dataframe, numpy 등 array에서 double-colon(::) slicing
03 Dec 2020
pandas.DataFrame.any(), numpy.any()
01 Dec 2020
Signal Analysis
나이퀴스트 이론(Nyquist frequency)
01 Jul 2021
Short-time Fourier Transform(STFT) 과 Discrete Wavelet Transform(DWT)
21 Jun 2021
Discrete Fourier Transform에 대하여
18 Jun 2021