Archives

2022

• 26 Aug [Review] Infcon 2022 참가 후기
• 13 Jul [Deep Dive Python] 3. Tuple / Dictionary / Set
• 11 Jul [Deep Dive Python] 2. List
• 10 Jul [Deep Dive Python] 1. Python의 객체와 변수 개념
• 28 Jun [Review] 네이버 부스트캠프 AI Tech를 마치며...
• 01 Jun [BoostCamp AI Tech / Final] Day91 - Consumer 코드 확장
• 01 Jun [BoostCamp AI Tech / Final] Day91 - Airflow setting 및 배치 파이프라인 설계
• 26 May [BoostCamp AI Tech / Final] Day88 - User 수집, Cloud storage
• 24 May [BoostCamp AI Tech / Final] Day85 - Redis Producer Consumer
• 21 May [BoostCamp AI Tech / Final] Day83 - GCP Redis 환경 세팅
• 20 May [BoostCamp AI Tech / Final] Day83 - 데이터베이스 변경 및 설계
• 18 May [BoostCamp AI Tech] Day 82 - 두런두런 수근수근 속닥속닥
• 17 May [BoostCamp AI Tech / Level 3 - Product Serving] Day81 - MLOps 개론
• 12 May [Airflow] 1.데이터 파이프라인과 Airflow
• 11 May [BoostCamp AI Tech / Final] Day77 - 더미데이터 제작 및 GCP 세팅
• 10 May [BoostCamp AI Tech / Final] Day76 - 프로젝트 개요
• 26 Apr [BoostCamp AI Tech / Level 2 - DKT] Day67 - Sequence Modelling
• 25 Apr [BoostCamp AI Tech / P Stage 3] Day66 - Project Day 6
• 19 Apr [BoostCamp AI Tech / Level 2 - DKT] Day62 - DKT 이해 및 DKT Trend
• 15 Apr [BoostCamp AI Tech / P Stage 2] Day60 - Project Day Final
• 13 Apr [BoostCamp AI Tech / P Stage 2] Day58 - Project Day 18
• 11 Apr [BoostCamp AI Tech / P Stage 2] Day56 - Project Day 16
• 07 Apr [BoostCamp AI Tech / P Stage 2] Day54 - Project Day 14
• 06 Apr [BoostCamp AI Tech / P Stage 2] Day53 - Project Day 13
• 04 Apr [BoostCamp AI Tech / P Stage 2] Day51 - Project Day 11
• 04 Apr [Paper Review] Deep Variational Autoencoder with Shallow Parallel Path for Top-N Recommendation (VASP)
• 01 Apr [BoostCamp AI Tech / P Stage 2] Day50 - Project Day 10
• 26 Mar [BoostCamp AI Tech / P Stage 2] Day45 - Project Day 5~6
• 24 Mar [BoostCamp AI Tech / P Stage 2] Day44 - Project Day 4
• 23 Mar [BoostCamp AI Tech / P Stage 2] Day43 - Project Day 2~3
• 21 Mar [BoostCamp AI Tech] Day41
• 21 Mar [BoostCamp AI Tech / P Stage 2] Day41 - Project Day 1
• 18 Mar [BoostCamp AI Tech] Day40
• 18 Mar [BoostCamp AI Tech / RecSys] Day40 - Bandit for Recommendation
• 17 Mar [BoostCamp AI Tech / RecSys] Day39 - DeepCTR
• 16 Mar [BoostCamp AI Tech] Day38
• 16 Mar [BoostCamp AI Tech / RecSys] Day38 - Context-aware Recommendation(GBM)
• 16 Mar [BoostCamp AI Tech / RecSys] Day38 - Context-aware Recommendation(FM, FFM)
• 14 Mar [BoostCamp AI Tech] Day36
• 14 Mar [BoostCamp AI Tech / RecSys] Day36 - RecSys with RNN
• 14 Mar [BoostCamp AI Tech / RecSys] Day36 - RecSys with GNN
• 14 Mar [Paper Review] Neural Graph Collaborative Filtering (2019)
• 12 Mar [BoostCamp AI Tech] Day35
• 12 Mar [BoostCamp AI Tech / RecSys] Day35 - Recommender System with DL
• 11 Mar [BoostCamp AI Tech / RecSys] Day35 - Approximate Nearest Neighbor
• 11 Mar [BoostCamp AI Tech / RecSys] Day35 - Item2Vec
• 10 Mar [BoostCamp AI Tech] Day34
• 10 Mar [BoostCamp AI Tech / RecSys] Day34 - Matrix Factorization
• 08 Mar [BoostCamp AI Tech] Day33
• 08 Mar [BoostCamp AI Tech / RecSys] Day33 - Collaborative Filtering
• 07 Mar [BoostCamp AI Tech] Day32
• 07 Mar [BoostCamp AI Tech / RecSys] Day32 - Content Based Recommendation
• 07 Mar [BoostCamp AI Tech / RecSys] Day32 - 추천 시스템 종류와 연관 분석
• 07 Mar [BoostCamp AI Tech / RecSys] Day32 - 추천 시스템 평가 지표와 인기도 추천
• 07 Mar [BoostCamp AI Tech / RecSys] Day32 - 추천 시스템 개념
• 04 Mar [BoostCamp AI Tech / P Stage 1] Day31 - Project Day Final
• 04 Mar [Life] 코세라 MLOps 특화과정 수료!
• 02 Mar [BoostCamp AI Tech / P Stage 1] Day28 - Project Day 9
• 28 Feb [BoostCamp AI Tech / P Stage 1] Day28 - Project Day 8
• 26 Feb [BoostCamp AI Tech / P Stage 1] Day27 - Project Day 5-6
• 24 Feb [BoostCamp AI Tech] Day26
• 24 Feb [BoostCamp AI Tech / P Stage 1] Day26 - Project Day 4
• 23 Feb [BoostCamp AI Tech] Day25
• 23 Feb [BoostCamp AI Tech / P Stage 1] Day25 - Project Day 3
• 22 Feb [BoostCamp AI Tech] Day24
• 22 Feb [BoostCamp AI Tech / P Stage 1] Day24 - Project Day 2
• 21 Feb [BoostCamp AI Tech] Day23
• 21 Feb [BoostCamp AI Tech / P Stage 1] Day23 - Project Day 1
• 19 Feb [MLOps Specialization / Step4] Introduction to Model Serving Infrastructure
• 19 Feb [MLOps Specialization / Step4] Introduction to Model Serving
• 18 Feb [BoostCamp AI Tech / 심화포스팅] 확률분포와 검정
• 18 Feb [MLOps Specialization / Step3] AutoML
• 18 Feb [MLOps Specialization / Step3] Hyperparameter tuning
• 17 Feb [BoostCamp AI Tech] Day21
• 17 Feb [MLOps Specialization / Step2] Validating Data
• 17 Feb [MLOps Specialization / Step2] Labeling Data
• 17 Feb [MLOps Specialization / Step2] Collectiong Data
• 17 Feb [MLOps Specialization / Step2] Introduction to ML Engineering in Production
• 16 Feb [BoostCamp AI Tech] Day20
• 16 Feb [MLOps Specialization / Step1] Deployment
• 16 Feb [MLOps Specialization / Step1] The ML Project Lifecycle
• 15 Feb [BoostCamp AI Tech] Day19
• 15 Feb [BoostCamp AI Tech / Level 3 - Product Serving] Day19 - 서비스 향 AI 모델 개발
• 14 Feb [BoostCamp AI Tech / Level 3 - Product Serving] Day18 - MLflow
• 14 Feb [BoostCamp AI Tech / Level 3 - Product Serving] Day18 - Docker
• 14 Feb [BoostCamp AI Tech / Level 3 - Product Serving] Day18 - Linux & Shell Command
• 14 Feb [BoostCamp AI Tech / Level 3 - Product Serving] Day18 - ML Project Life Cycle
• 11 Feb [BoostCamp AI Tech / Level 1 - DL Basic] Day16 - Transformer
• 11 Feb [BoostCamp AI Tech / Level 1 - DL Basic] Day16 - Recurrent Neural Networks
• 09 Feb [BoostCamp AI Tech] Day15
• 09 Feb [Paper Review] AlexNet (2012)
• 08 Feb [BoostCamp AI Tech] Day14
• 08 Feb [BoostCamp AI Tech / Level 1 - DL Basic] Day14 - Generative Models
• 08 Feb [BoostCamp AI Tech / Level 1 - DL Basic] Day14 - CV Applications
• 08 Feb [BoostCamp AI Tech / Level 1 - DL Basic] Day14 - Convolutional Neural Networks
• 07 Feb [BoostCamp AI Tech] Day13
• 07 Feb [BoostCamp AI Tech / Level 1 - DL Basic] Day13 - Optimization
• 07 Feb [BoostCamp AI Tech / Level 1 - DL Basic] Day13 - MLP (Multi-Layer Perceptron)
• 07 Feb [BoostCamp AI Tech / Level 1 - DL Basic] Day13 - Historical Review
• 04 Feb [BoostCamp AI Tech] Day12
• 04 Feb [BoostCamp AI Tech / Level 1 - Data Viz] Day12 - Seaborn
• 04 Feb [BoostCamp AI Tech / Level 1 - Data Viz] Day12 - Matplotlib Details
• 04 Feb [BoostCamp AI Tech / 심화포스팅] Jekyll Blog와 MathJax
• 03 Feb [BoostCamp AI Tech] Day11
• 03 Feb [BoostCamp AI Tech / Level 1 - Data Viz] Day11 - Basic Plots
• 03 Feb [BoostCamp AI Tech / Level 1 - Data Viz] Day11 - Introduction
• 02 Feb [Elastic Search] Elasticsearch의 구조
• 28 Jan [BoostCamp AI Tech] Day10
• 28 Jan [BoostCamp AI Tech / 심화포스팅] torch.nn.Module 뜯어먹기
• 27 Jan [BoostCamp AI Tech] Day9
• 27 Jan [BoostCamp AI Tech / PyTorch] Day9 - Hyper-parameter Tuning
• 27 Jan [BoostCamp AI Tech / PyTorch] Day9 - Multi-GPU 학습
• 27 Jan [Elastic Search] WSL을 통한 ELK 설치 및 실행
• 26 Jan [BoostCamp AI Tech] Day8
• 26 Jan [BoostCamp AI Tech / PyTorch] Day8 - Monitoring tools for PyTorch
• 26 Jan [BoostCamp AI Tech / PyTorch] Day8 - 모델 불러오기
• 25 Jan [BoostCamp AI Tech] Day7
• 25 Jan [BoostCamp AI Tech / PyTorch] Day7 - Datasets & Dataloaders
• 25 Jan [BoostCamp AI Tech / PyTorch] Day7 - AutoGrad & Optimizer
• 24 Jan [BoostCamp AI Tech / PyTorch] Day6 - PyTorch 프로젝트 구조 이해하기
• 24 Jan [BoostCamp AI Tech / PyTorch] Day6 - Introduction to PyTorch and Basics
• 23 Jan [Programmers] 카카오 블라인드 2022 - k진수에서 소수 개수 구하기
• 23 Jan [Programmers] 카카오 블라인드 2022 - 신고 결과 받기
• 21 Jan [BoostCamp AI Tech] Day5
• 21 Jan [BoostCamp AI Tech / Level 1 - Python/PyTorch] Day5 - Pandas
• 20 Jan [BoostCamp AI Tech] Day4
• 20 Jan [BoostCamp AI Tech / Level 1 - AI Math] Day4 - RNN 첫 걸음
• 20 Jan [BoostCamp AI Tech / Level 1 - AI Math] Day4 - CNN 첫 걸음
• 20 Jan [BoostCamp AI Tech / Level 1 - AI Math] Day4 - 딥러닝 학습방법 이해하기
• 20 Jan [BoostCamp AI Tech / Level 1 - AI Math] Day4 - 베이즈 통계학 맛보기
• 20 Jan [BoostCamp AI Tech / Level 1 - AI Math] Day4 - 통계학 맛보기
• 20 Jan [BoostCamp AI Tech / Level 1 - AI Math] Day4 - 확률론 맛보기
• 19 Jan [BoostCamp AI Tech / Level 1 - AI Math] Day3 - 경사하강법 (매운맛)
• 19 Jan [BoostCamp AI Tech / Level 1 - AI Math] Day3 - 경사하강법 (순한맛)
• 19 Jan [BoostCamp AI Tech / Level 1 - AI Math] Day3 - Matrix
• 19 Jan [BoostCamp AI Tech / Level 1 - Python/PyTorch] Day3 - Numpy
• 19 Jan [Programmers] 카카오 블라인드 2021 - 신규 아이디 추천
• 19 Jan [BOJ] 1743 음식물 피하기
• 19 Jan [BOJ] 15780 멀티탭 충분하니?
• 18 Jan [BoostCamp AI Tech / Level 1 - AI Math] Day2 - Vector
• 18 Jan [BoostCamp AI Tech] Day2
• 18 Jan [BoostCamp AI Tech / Level 1 - Python/PyTorch] Day2 - Module & Package
• 18 Jan [BoostCamp AI Tech / Level 1 - Python/PyTorch] Day2 - Python OOP
• 17 Jan [BoostCamp AI Tech] Day1
• 17 Jan [BoostCamp AI Tech / Level 1 - Python/PyTorch] Day1 - Pythonic code
• 17 Jan [BoostCamp AI Tech / Level 1 - Python/PyTorch] Day1 - Python DataStructures
• 06 Jan [Review] 네이버 부스트캠프 AI Tech 3기 합격 후기
• 05 Jan [Review] 카카오 추천팀 겨울 인턴 2021 코테 후기

2021

• 27 Jul [알.쓸.선.잡] 공공데이터 활용 선거 및 국회의원 정보 제공 서비스
• 07 Jul [Review] Naver AI Rush 2021 1 / 2라운드 후기
• 10 May [Review] Naver AI Rush 2021 코딩테스트 후기 및 합격
• 07 Feb [Cabinet Project] 사물함 배정 프로그램 개발일지 2 - 사물함 정보 및 신청 API 개발
• 04 Feb [Cabinet Project] 사물함 배정 프로그램 개발일지 1 - 로그인 화면, API 개발
• 25 Jan [BOJ] 7576 토마토
• 25 Jan [BOJ] 1987 알파벳
• 10 Jan [Go] Go로 만들어보는 자료구조 - 배열(Array)

2020

• 26 Aug [Medipush Project] Database 구축
• 21 Aug [Medipush Project] AWS connect
• 19 Aug [Medipush Project] MongoDB
• 01 Aug [Data Structure] DFS (깊이 우선 탐색)
• 24 Jul [Data Structure] Graph (그래프)
• 21 Jul [Data Structure] Binary Search Tree (이진 탐색 트리)
• 15 Jul [Data Structure] Hash (해시)
• 11 Jul [Data Structure] Priority Queue (우선순위 큐)
• 08 Jul [Data Structure] Binary Tree (이진트리) & Tree 구현
• 07 Jul [Data Structure] Tree (트리)
• 06 Jul [Data Structure] Vector and List (벡터와 리스트)
• 05 Jul [Data Structure] Queue(큐)
• 04 Jul [Data Structure] Stack(스택)
• 03 Jul [Data Structure] Analysis of Algorithms (알고리즘 분석)
• 30 Jun [Data Structure] Linked List (연결 리스트)
• 24 Jun R Programming 12주차
• 23 Jun R Programming 11주차
• 11 Jun R Programming 10주차
• 07 Jun R Programming 9주차
• 07 Jun R Programming 7주차
• 23 May R Programming 6주차
• 13 Apr R Programming 5주차
• 09 Apr R Programming 4주차
• 02 Apr R Programming 3주차
• 26 Mar R Programming 2주차
• 19 Mar R Programming 1주차