Pseudo Statistics
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  1. Pseudo Statistics
  • About
  • Posts
    • 잡동사니
      • 2023.08.28 블로그
      • 논문 읽다가 모르겠거나 복습할 개념 정리
      • 성능 평가 지표(회귀모델, 분류모델)
      • VSCode 주피터 커널 등록 / CUDA에 맞는 torch 설치
      • 2024 GIST-NVAITC Korea 강연 내용
    • Algorithm
      • [Algorithm] 3. 알고리즘의 효율 분석
      • [Algorithm] 4. 코딩 테스트 필수 문법
      • [Algorithm] 5. Array
      • [Algorithm] 6. Stack
      • [Algorithm] Recursive
    • Information Theory
      • Information Theory
    • Linear Algebra
      • 선형대수학
      • [통계전산] 선형대수학(나중에)
    • Network
      • Network / D-N-A 기반 X+AI 서비스 실증
    • Optimal Design
      • [Optimal Design] 1. Introduction to Design Optimization
      • [Optimal Design] 10. Numerical Methods for Unconstrained Optimum Design
      • [Optimal Design] 11. More on Numerical Methods for Unconstrained Optimum Design
      • [Optimal Design] 12. Numerical method for constrained optimum design
      • [Optimal Design] 2. Optimum Design Problem Formulation
      • [Optimal Design] 3. Graphical Solution Method
      • [Optimal Design] 4. Optimum Design Concepts: Optimality Conditions
    • Paper
      • [Paper Review] Denoising diffusion probabilistic models(NIPS 2020)
      • [Paper Review] End-to-End Optimized Image Compression(ICLR 2017)
      • [Paper Review] Federated learning: Challenges, methods, and future directions (2020)
      • [Paper Review] Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains(2020)
      • [Paper Review] Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis (2024)
      • [Paper Review] Machine learning driven smart electric power system: Current trends and new perspectives(2020)
      • [Paper Review] Taskonomy: Disentangling Task Transfer Learning(2018)
      • [Paper Review] TS2Vec: Towards universal representation of time series(AAAI 2022)
      • [Paper Review] Auto-Encoding Variational Bayes(ICLR 2014)
    • PINN
      • Physics-informed neural networks (PINN)
    • Python
      • [Python] 자료형,Numpy,Pandas
      • [데이터시각화] 1. Matplotlib
      • [데이터시각화] 4. Plotly, 판다스 백엔드
      • [데이터시각화] 2. Seaborn
      • [데이터시각화] 3. Pandas - lambda df:의 활용, MultiIndex의 이해, tidydata의 이해
      • [데이터시각화] 0. 훌륭한 시각화
    • Signal Processing
      • Signal and System, DSP
    • Statistics
      • [확률론] 1. Probability and counting
      • Data Science
      • 통계 101 X 데이터분석
      • [Detection and Estimation] Lec 7~14 summary
      • [Detection and Estimation] Estimation
      • [Detection and Estimation] Lec 1~6 summary
      • Maximum Likelihood Estimation(MLE)
      • [Random Process] Stochastic Process
      • [Random Process] Probability, Random Variable
      • [통계전산] 통계
Categories
All (48)

Pseudo Statistics

통계학, 머신러닝, 딥러닝 등 공부내용을 기록하는 블로그입니다.

Email : ksko0424@gm.gist.ac.kr

Link

  • Github : https://github.com/star77sa
  • Notion : https://ksko.notion.site
  • Linkedin : https://linkedin.com/in/star77sa

이전 블로그

  • fastpage : https://star77sa.github.io/TIL-Blog
  • Tistory: https://ksko0424.tistory.com/

Date Title Author
Apr 15, 2025 Network / D-N-A 기반 X+AI 서비스 실증 고경수
Apr 3, 2025 [Paper Review] TS2Vec: Towards universal representation of time series(AAAI 2022) 고경수
Dec 15, 2024 [Optimal Design] 12. Numerical method for constrained optimum design 고경수
Dec 14, 2024 [Optimal Design] 11. More on Numerical Methods for Unconstrained Optimum Design 고경수
Dec 13, 2024 [Optimal Design] 10. Numerical Methods for Unconstrained Optimum Design 고경수
Dec 5, 2024 [Detection and Estimation] Lec 7~14 summary 고경수
Dec 4, 2024 [Detection and Estimation] Lec 1~6 summary 고경수
Nov 27, 2024 [Paper Review] Federated learning: Challenges, methods, and future directions (2020) 고경수
Nov 26, 2024 Physics-informed neural networks (PINN) 고경수
Sep 20, 2024 [Algorithm] Recursive 고경수
Sep 11, 2024 [Optimal Design] 4. Optimum Design Concepts: Optimality Conditions 고경수
Sep 7, 2024 [Algorithm] 6. Stack 고경수
Sep 5, 2024 [Optimal Design] 3. Graphical Solution Method 고경수
Sep 4, 2024 [Detection and Estimation] Estimation 고경수
Sep 3, 2024 [Optimal Design] 2. Optimum Design Problem Formulation 고경수
Sep 2, 2024 [Optimal Design] 1. Introduction to Design Optimization 고경수
Aug 30, 2024 [Algorithm] 5. Array 고경수
Aug 26, 2024 [Paper Review] Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis (2024) 고경수
Aug 25, 2024 Data Science 고경수
Aug 24, 2024 [Algorithm] 4. 코딩 테스트 필수 문법 고경수
Aug 20, 2024 [Paper Review] Auto-Encoding Variational Bayes(ICLR 2014) 고경수
Aug 18, 2024 Maximum Likelihood Estimation(MLE) 고경수
Aug 11, 2024 [Algorithm] 3. 알고리즘의 효율 분석 고경수
Aug 11, 2024 [Paper Review] Denoising diffusion probabilistic models(NIPS 2020) 고경수
Aug 10, 2024 Information Theory 고경수
Aug 10, 2024 [Paper Review] End-to-End Optimized Image Compression(ICLR 2017) 고경수
Jul 25, 2024 [Paper Review] Taskonomy: Disentangling Task Transfer Learning(2018) 고경수
Jul 3, 2024 [Paper Review] Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains(2020) 고경수
Jun 14, 2024 [Random Process] Stochastic Process 고경수
Jun 14, 2024 [Random Process] Probability, Random Variable 고경수
Jun 13, 2024 Signal and System, DSP 고경수
Jan 30, 2024 [통계전산] 통계 고경수
Jan 26, 2024 [데이터시각화] 4. Plotly, 판다스 백엔드 고경수
Jan 25, 2024 [데이터시각화] 3. Pandas - lambda df:의 활용, MultiIndex의 이해, tidydata의 이해 고경수
Jan 24, 2024 [데이터시각화] 2. Seaborn 고경수
Jan 23, 2024 [데이터시각화] 1. Matplotlib 고경수
Jan 22, 2024 [데이터시각화] 0. 훌륭한 시각화 고경수
Jan 21, 2024 선형대수학 고경수
Jan 21, 2024 [Python] 자료형,Numpy,Pandas 고경수
Jan 19, 2024 [Paper Review] Machine learning driven smart electric power system: Current trends and new perspectives(2020) 고경수
Jan 19, 2024 성능 평가 지표(회귀모델, 분류모델) 고경수
Jan 17, 2024 2024 GIST-NVAITC Korea 강연 내용 고경수
Jan 1, 2024 [통계전산] 선형대수학(나중에) 고경수
Jan 1, 2024 VSCode 주피터 커널 등록 / CUDA에 맞는 torch 설치 고경수
Jan 1, 2024 논문 읽다가 모르겠거나 복습할 개념 정리 고경수
Sep 14, 2023 통계 101 X 데이터분석 고경수
Aug 29, 2023 [확률론] 1. Probability and counting 고경수
Aug 28, 2023 2023.08.28 블로그 고경수
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