# Boostcamp

- [Daily Report](/til/til-ml/boostcamp/daily-report.md)
- [2021](/til/til-ml/boostcamp/daily-report/untitled.md)
- [09](/til/til-ml/boostcamp/daily-report/untitled/09.md)
- [week4](/til/til-ml/boostcamp/daily-report/untitled/09/week4.md)
- [week5](/til/til-ml/boostcamp/daily-report/untitled/09/week5.md)
- [10](/til/til-ml/boostcamp/daily-report/untitled/10.md)
- [week1](/til/til-ml/boostcamp/daily-report/untitled/10/week1.md)
- [week2](/til/til-ml/boostcamp/daily-report/untitled/10/week2.md)
- [week3](/til/til-ml/boostcamp/daily-report/untitled/10/week3.md)
- [week4](/til/til-ml/boostcamp/daily-report/untitled/10/week4.md)
- [11](/til/til-ml/boostcamp/daily-report/untitled/11.md)
- [week1](/til/til-ml/boostcamp/daily-report/untitled/11/week1.md)
- [week2](/til/til-ml/boostcamp/daily-report/untitled/11/week2.md)
- [week3](/til/til-ml/boostcamp/daily-report/untitled/11/week3.md)
- [week4](/til/til-ml/boostcamp/daily-report/untitled/11/week4.md)
- [week5](/til/til-ml/boostcamp/daily-report/untitled/11/week5.md)
- [12](/til/til-ml/boostcamp/daily-report/untitled/12.md)
- [week1](/til/til-ml/boostcamp/daily-report/untitled/12/week1.md)
- [week2](/til/til-ml/boostcamp/daily-report/untitled/12/week2.md)
- [week3](/til/til-ml/boostcamp/daily-report/untitled/12/week3.md)
- [Final Project](/til/til-ml/boostcamp/final-project.md)
- [프로젝트 기획](/til/til-ml/boostcamp/final-project/undefined.md)
- [🌟최종 프로젝트 기획](/til/til-ml/boostcamp/final-project/undefined/undefined.md)
- [최종 프로젝트 Version](/til/til-ml/boostcamp/final-project/undefined/version.md)
- [아이디어 수집](/til/til-ml/boostcamp/final-project/undefined/undefined-1.md)
- [욕설, 혐오발언 감지](/til/til-ml/boostcamp/final-project/undefined/undefined-2.md)
- [라이브 커머스 레포팅 프로젝트](/til/til-ml/boostcamp/final-project/undefined/undefined-3.md)
- [프로젝트 진행](/til/til-ml/boostcamp/final-project/undefined-1.md)
- [week1](/til/til-ml/boostcamp/final-project/undefined-1/week1.md)
- [week2](/til/til-ml/boostcamp/final-project/undefined-1/week2.md)
- [week3](/til/til-ml/boostcamp/final-project/undefined-1/week3.md)
- [Competition](/til/til-ml/boostcamp/competition.md)
- [1. \[NLP\] 문장 내 개체간 관계 추출](/til/til-ml/boostcamp/competition/1.-nlp.md): 문장의 단어(Entity)에 대한 속성과 관계를 예측하는 인공지능 만들기
- [Day1 (9.27, 월)](/til/til-ml/boostcamp/competition/1.-nlp/day1-9.27.md)
- [Day2-3 (9.28~29, 화~수)](/til/til-ml/boostcamp/competition/1.-nlp/untitled.md)
- [Day4 (9.30, 목)](/til/til-ml/boostcamp/competition/1.-nlp/day4-9.30.md)
- [Day5 (10.1, 금)](/til/til-ml/boostcamp/competition/1.-nlp/day5-9.31.md)
- [Day6~7 (10.2~3, 토~일)](/til/til-ml/boostcamp/competition/1.-nlp/day6-7-10.1-2.md)
- [Day8 (10.4, 월)](/til/til-ml/boostcamp/competition/1.-nlp/day8-10.4.md)
- [Day9 (10.5, 화)](/til/til-ml/boostcamp/competition/1.-nlp/day9-10.5.md)
- [Day10 (10.6, 수)](/til/til-ml/boostcamp/competition/1.-nlp/day10-10.6.md)
- [Day 11 (10.7 목)](/til/til-ml/boostcamp/competition/1.-nlp/day-11-10.7.md)
- [2. \[NLP\] MRC 프로젝트](/til/til-ml/boostcamp/competition/2.-nlp-mrc.md)
- [Day1 (10.25, 월)](/til/til-ml/boostcamp/competition/2.-nlp-mrc/day1-10.25.md)
- [Day2 (10.26, 화)](/til/til-ml/boostcamp/competition/2.-nlp-mrc/day2-10.26.md)
- [Day3 (10.27, 수)](/til/til-ml/boostcamp/competition/2.-nlp-mrc/day3-10.27.md)
- [Day4-5 (10.28-29, 목-금)](/til/til-ml/boostcamp/competition/2.-nlp-mrc/day4-5-10.28-29.md)
- [Day6 (11.1, 월)](/til/til-ml/boostcamp/competition/2.-nlp-mrc/day6-11.1.md)
- [Day7 (11.2, 화)](/til/til-ml/boostcamp/competition/2.-nlp-mrc/day7-11.2.md)
- [Day8 (11.3, 수)](/til/til-ml/boostcamp/competition/2.-nlp-mrc/day8-11.3.md)
- [Day9 (11.4, 목)](/til/til-ml/boostcamp/competition/2.-nlp-mrc/day9-11.4.md)
- [🔨3. \[NLP\] 데이터 제작](/til/til-ml/boostcamp/competition/3.-nlp.md)
- [Day1](/til/til-ml/boostcamp/competition/3.-nlp/day1.md)
- [🔨4. \[공통\] 모델 경량화](/til/til-ml/boostcamp/competition/4..md)
- [\[U Stage\] - DL basic](/til/til-ml/boostcamp/u-stage-dl-basic.md)
- [(01강) 딥러닝 기본 용어 설명 - Historical Review](/til/til-ml/boostcamp/u-stage-dl-basic/01-historical-review.md)
- [(02강) 뉴럴 네트워크 - MLP (Multi-Layer Perceptron)](/til/til-ml/boostcamp/u-stage-dl-basic/02-mlp-multi-layer-perceptron.md)
- [(03강) Optimization](/til/til-ml/boostcamp/u-stage-dl-basic/03-optimization.md)
- [🔨(04강) Convolution은 무엇인가?](/til/til-ml/boostcamp/u-stage-dl-basic/04-convolution.md)
- [🔨(05강) Modern CNN - 1x1 convolution의 중요성](/til/til-ml/boostcamp/u-stage-dl-basic/05-modern-cnn-1x1-convolution.md)
- [🔨(06강) Computer Vision Applications](/til/til-ml/boostcamp/u-stage-dl-basic/06-computer-vision-applications.md)
- [(07강) Sequential Models - RNN](/til/til-ml/boostcamp/u-stage-dl-basic/07-sequential-models-rnn.md)
- [(08강) Sequential Models - Transformer](/til/til-ml/boostcamp/u-stage-dl-basic/08-sequential-models-transformer.md)
- [Page 2](/til/til-ml/boostcamp/u-stage-dl-basic/page-2.md)
- [\[U Stage\] - PyTorch](/til/til-ml/boostcamp/u-stage-pytorch.md)
- [(01강) Introduction to PyTorch](/til/til-ml/boostcamp/u-stage-pytorch/01-introduction-to-pytorch.md)
- [(02강) PyTorch Basics](/til/til-ml/boostcamp/u-stage-pytorch/02-pytorch-basics.md)
- [(03강) PyTorch 프로젝트 구조 이해하기](/til/til-ml/boostcamp/u-stage-pytorch/03-pytorch.md)
- [(04강) AutoGrad & Optimizer](/til/til-ml/boostcamp/u-stage-pytorch/04-autograd-and-optimizer.md)
- [(05강) Dataset & Dataloader](/til/til-ml/boostcamp/u-stage-pytorch/05-dataset-and-dataloader.md)
- [(06강) 모델 불러오기](/til/til-ml/boostcamp/u-stage-pytorch/06.md)
- [(07강) Monitoring tools for PyTorch](/til/til-ml/boostcamp/u-stage-pytorch/07-monitoring-tools-for-pytorch.md)
- [(08강) Multi-GPU 학습](/til/til-ml/boostcamp/u-stage-pytorch/08-multi-gpu.md)
- [(09강) Hyperparameter Tuning](/til/til-ml/boostcamp/u-stage-pytorch/09-hyperparameter-tuning.md)
- [(10강) PyTorch Troubleshooting](/til/til-ml/boostcamp/u-stage-pytorch/10-pytorch-troubleshooting.md)
- [\[U Stage\] - NLP](/til/til-ml/boostcamp/u-stage-nlp.md): Week 6~7 NLP 이론 학습
- [(01강) Introduction to NLP, Bag-of-Words](/til/til-ml/boostcamp/u-stage-nlp/01-introduction-to-nlp-bag-of-words.md)
- [(02강) Word Embedding](/til/til-ml/boostcamp/u-stage-nlp/02-word-embedding.md)
- [(03강) Recurrent Neural Network and Language Modeling](/til/til-ml/boostcamp/u-stage-nlp/03-recurrent-neural-network-and-language-modeling.md)
- [(04강) LSTM and GRU](/til/til-ml/boostcamp/u-stage-nlp/04-lstm-and-gru.md)
- [(05강) Sequence to Sequence with Attention](/til/til-ml/boostcamp/u-stage-nlp/05-sequence-to-sequence-with-attention.md)
- [(06강) Beam Search and BLEU score](/til/til-ml/boostcamp/u-stage-nlp/06-beam-search-and-bleu-score.md)
- [(07-08강) Transformer](/til/til-ml/boostcamp/u-stage-nlp/07-08-transformer.md)
- [(09강) Self-supervised Pre-training Models](/til/til-ml/boostcamp/u-stage-nlp/untitled-1.md)
- [\[P Stage\] - KLUE](/til/til-ml/boostcamp/p-stage-klue.md)
- [(1강) 인공지능과 자연어 처리](/til/til-ml/boostcamp/p-stage-klue/1.md)
- [(2강) 자연어의 전처리](/til/til-ml/boostcamp/p-stage-klue/2.md)
- [(3강) BERT 언어모델 소개](/til/til-ml/boostcamp/p-stage-klue/3-bert.md)
- [(4강) 한국어 BERT 언어 모델 학습](/til/til-ml/boostcamp/p-stage-klue/4-bert.md)
- [(5강) BERT 기반 단일 문장 분류 모델 학습](/til/til-ml/boostcamp/p-stage-klue/5-bert.md)
- [(6강) BERT 기반 두 문장 관계 분류 모델 학습](/til/til-ml/boostcamp/p-stage-klue/6-bert.md)
- [(7강) BERT 언어모델 기반의 문장 토큰 분류](/til/til-ml/boostcamp/p-stage-klue/7-bert.md)
- [오피스아워 (9.30, 목)](/til/til-ml/boostcamp/p-stage-klue/9.30.md)
- [(8강) GPT 언어 모델](/til/til-ml/boostcamp/p-stage-klue/8-gpt.md)
- [(9강) GPT 언어모델 기반의 자연어 생성](/til/til-ml/boostcamp/p-stage-klue/9-gpt.md)
- [(10강) 최신 자연어처리 연구](/til/til-ml/boostcamp/p-stage-klue/10.md)
- [\[P Stage\] - MRC](/til/til-ml/boostcamp/p-stage-mrc.md)
- [Before Study](/til/til-ml/boostcamp/p-stage-mrc/before-study.md)
- [(1강) MRC Intro & Python Basics](/til/til-ml/boostcamp/p-stage-mrc/1-mrc-intro-and-python-basics.md)
- [(2강) Extraction-based MRC](/til/til-ml/boostcamp/p-stage-mrc/2-extraction-based-mrc.md)
- [(3강) Generation-based MRC](/til/til-ml/boostcamp/p-stage-mrc/3-generation-based-mrc.md)
- [(4강) Passage Retrieval - Sparse Embedding](/til/til-ml/boostcamp/p-stage-mrc/4-passage-retrieval-sparse-embedding.md)
- [(5강) Passage Retrieval - Dense Embedding](/til/til-ml/boostcamp/p-stage-mrc/5-passage-retrieval-dense-embedding.md)
- [오피스아워](/til/til-ml/boostcamp/p-stage-mrc/undefined.md)
- [(6강) Scaling up with FAISS](/til/til-ml/boostcamp/p-stage-mrc/6-scaling-up-with-faiss.md)
- [(7강) Linking MRC and Retrieval](/til/til-ml/boostcamp/p-stage-mrc/7-linking-mrc-and-retrieval.md)
- [(8강) Reducing Training Bias](/til/til-ml/boostcamp/p-stage-mrc/8-reducing-training-bias.md)
- [(9강) Closed-book QA with T5](/til/til-ml/boostcamp/p-stage-mrc/9-closed-book-qa-with-t5.md)
- [(10강) QA with Phrase Retrieval](/til/til-ml/boostcamp/p-stage-mrc/10-qa-with-phrase-retrieval.md)
- [마스터클래스](/til/til-ml/boostcamp/p-stage-mrc/undefined-1.md)
- [\[P Stage\] - 데이터제작(NLP)](/til/til-ml/boostcamp/p-stage-nlp.md)
- [(1강) 데이터 제작의 A to Z](/til/til-ml/boostcamp/p-stage-nlp/1-a-to-z.md)
- [(2강) 자연어처리 데이터 기초](/til/til-ml/boostcamp/p-stage-nlp/2.md)
- [(3강) 자연어처리 데이터 소개 1](/til/til-ml/boostcamp/p-stage-nlp/3-1.md)
- [(4강) 자연어처리 데이터 소개 2](/til/til-ml/boostcamp/p-stage-nlp/4-2.md)
- [(5강) 원시 데이터의 수집과 가공](/til/til-ml/boostcamp/p-stage-nlp/5.md)
- [오피스아워 (11.10, 수)](/til/til-ml/boostcamp/p-stage-nlp/11.10.md)
- [(6강) 데이터 구축 작업 설계](/til/til-ml/boostcamp/p-stage-nlp/6.md)
- [(7강) 데이터 구축 가이드라인 작성 기초](/til/til-ml/boostcamp/p-stage-nlp/7.md)
- [(8강) 관계 추출 과제의 이해](/til/til-ml/boostcamp/p-stage-nlp/8.md)
- [(9강) 관계 추출 관련 논문 읽기](/til/til-ml/boostcamp/p-stage-nlp/9.md)
- [(10강) 관계 추출 데이터 구축 실습](/til/til-ml/boostcamp/p-stage-nlp/10.md)
- [\[P Stage\] - 모델 최적화](/til/til-ml/boostcamp/p-stage.md)
- [(1강) 최적화 소개 및 강의 개요](/til/til-ml/boostcamp/p-stage/1.md)
- [(2강) 대회 및 데이터셋 소개](/til/til-ml/boostcamp/p-stage/2.md)
- [(3강) 작은 모델, 좋은 파라미터 찾기: AutoML 이론](/til/til-ml/boostcamp/p-stage/3-automl.md)
- [🔨(4강) 작은 모델, 좋은 파라미터 찾기: AutoML 실습](/til/til-ml/boostcamp/p-stage/4-automl.md)
- [(5강) 작은 모델, 좋은 파라미터 찾기: Data Augmentation & AutoML 결과 분석](/til/til-ml/boostcamp/p-stage/5-data-augmentation-and-automl.md)
- [🔨오피스아워 -Baseline 코드에 모듈 작성하기(신종선 멘토님)](/til/til-ml/boostcamp/p-stage/baseline.md)
- [\[P Stage\] - Product Serving](/til/til-ml/boostcamp/p-stage-product-serving.md)
- [Part 1: Product Serving 개론](/til/til-ml/boostcamp/p-stage-product-serving/part-1-product-serving.md)
- [1.1 강의 진행 방식](/til/til-ml/boostcamp/p-stage-product-serving/part-1-product-serving/1.1.md)
- [1.2 MLOps 개론](/til/til-ml/boostcamp/p-stage-product-serving/part-1-product-serving/1.2-mlops.md)
- [1.3 Model Serving](/til/til-ml/boostcamp/p-stage-product-serving/part-1-product-serving/1.3-model-serving.md)
- [1.4 머신러닝 프로젝트 라이프 사이클](/til/til-ml/boostcamp/p-stage-product-serving/part-1-product-serving/1.4.md)
- [Part 2: 프로토타입부터 점진적으로 개선하기](/til/til-ml/boostcamp/p-stage-product-serving/part-2.md)
- [2.1 프로토타이핑 - Notebook 베이스(Voila)](/til/til-ml/boostcamp/p-stage-product-serving/part-2/2.1-notebook-voila.md)
- [2.2 프로토타이핑 - 웹 서비스 형태(Streamlit)](/til/til-ml/boostcamp/p-stage-product-serving/part-2/2.2-streamlit.md)
- [2.3 Linux & Shell Command](/til/til-ml/boostcamp/p-stage-product-serving/part-2/2.3-linux-and-shell-command.md)
- [2.4 Cloud](/til/til-ml/boostcamp/p-stage-product-serving/part-2/2.4-cloud.md)
- [2.5 Github Action을 활용한 CI/CD](/til/til-ml/boostcamp/p-stage-product-serving/part-2/2.5-github-action-ci-cd.md)
- [Part 3: 더 완성화된 제품으로](/til/til-ml/boostcamp/p-stage-product-serving/part-3.md)
- [3.1.1 FastAPI](/til/til-ml/boostcamp/p-stage-product-serving/part-3/3.1.1-fastapi.md)
- [3.1.2 Fast API](/til/til-ml/boostcamp/p-stage-product-serving/part-3/3.1.2-fast-api.md)
- [3.1.3 Fast API](/til/til-ml/boostcamp/p-stage-product-serving/part-3/3.1.3-fast-api.md)
- [3.2 Docker](/til/til-ml/boostcamp/p-stage-product-serving/part-3/3.2-docker.md)
- [3.3 Logging](/til/til-ml/boostcamp/p-stage-product-serving/part-3/3.3-logging.md)
- [3.4 MLFlow](/til/til-ml/boostcamp/p-stage-product-serving/part-3/3.4-mlflow.md)
- [Part 4: 심화 소재](/til/til-ml/boostcamp/p-stage-product-serving/part-4.md)
- [4.1 BentoML](/til/til-ml/boostcamp/p-stage-product-serving/part-4/4.1-bentoml.md)
- [4.2 Airflow](/til/til-ml/boostcamp/p-stage-product-serving/part-4/4.2-airflow.md)
- [4.3 머신러닝 디자인 패턴](/til/til-ml/boostcamp/p-stage-product-serving/part-4/4.3.md)
- [4.4 앞으로 더 공부하면 좋을 내용](/til/til-ml/boostcamp/p-stage-product-serving/part-4/4.4.md)
- [특강](/til/til-ml/boostcamp/undefined.md)
- [(특강) 김상훈 - 캐글 그랜드마스터의 노하우 대방출](/til/til-ml/boostcamp/undefined/undefined.md)
- [(특강) 이활석 - 서비스 향 AI 모델 개발하기](/til/til-ml/boostcamp/undefined/ai.md)
- [(특강) 구종만 - AI + ML과 Quant Trading](/til/til-ml/boostcamp/undefined/ai-+-ml-quant-trading.md)
- [(특강) 문지형 - 내가 만든 AI 모델은 합법일까, 불법일까](/til/til-ml/boostcamp/undefined/ai-1.md)
- [(특강) 이준엽 - Full Stack ML Engineer](/til/til-ml/boostcamp/undefined/full-stack-ml-engineer.md)
- [(특강) 박은정 - AI 시대의 커리어 빌딩](/til/til-ml/boostcamp/undefined/ai-2.md)
- [(특강) 오혜연 - AI Ethics](/til/til-ml/boostcamp/undefined/ai-ethics.md)