- 강연일시: 2021.6.16~17, 7.6~7
- 강연방법: 비대면 (ZOOM)
- 강연기획: KPC 한국생산성본부 정재휘 위원 (jhjung@kpc.or.kr)
- 강연진행: NXP 넥스트플랫폼 동준상 (naebon1@gmail.com)
1부. 빅데이터 활용 전략
https://blog.naver.com/naebon/222386833285
https://blog.naver.com/naebon/222400888948
해군함정 가스터빈 추력기 유지보수 데이터 분석
https://docs.google.com/presentation/d/14R6eBAUt_UIk9NOVEr8RiAen0aWXV2HXym0Ck9UMpys/edit?usp=sharing
- https://www.kaggle.com/
- https://archive.ics.uci.edu/ml/index.php
- https://www.iea.org/data-and-statistics
- https://www.tensorflow.org/datasets
2부. 인공지능 활용 전략
KPC KOMIPO 인공지능 활용실습
노트: NXP ML Prediction 멜버른 주택 가격 예측.ipynb
https://colab.research.google.com/drive/1y9fqGADQ0V_I4IDzBpS23RwGFMpLEHlP?usp=sharing
데이터: melb_price.csv
https://drive.google.com/file/d/1R3Zcaymb_yRMHZcV1jD__BIcLTHklfRe/view?usp=sharing
노트: NXP DL Prediction 1차 방정식 해 추론하기.ipynb
https://colab.research.google.com/drive/18CxFZt_2QiTVEPTHgK1dyuKAP24Seqaw?usp=sharing
데이터 분석도구: Anaconda
https://www.anaconda.com/
노트: NXP DL Prediction MNIST 손글씨 CNN Best.ipynb
https://colab.research.google.com/drive/1RJdArOYKBuJKP0z5fqe9JB0nS15Fngi4?usp=sharing
노트: NXP ML Prediction 사용자 데이터 기반 보험료 예측 Isil Berkun.ipynb
https://colab.research.google.com/drive/1tm1hUGds4oVg3cAkqg7QbhWDVxhYW7Uz?usp=sharing
데이터: insurance.csv
https://drive.google.com/file/d/18JKM-CurRtwDtQuSVY-_9tXCezX8NMRx/view?usp=sharing
노트: NXP DL Prediction 가위 바위 보 RockPaperScissors.ipynb
https://colab.research.google.com/drive/1yvCEbSJuCuNJEMXjd2XrOLkxMKP8C_2Z?usp=sharing
강연문의: KPC 한국생산성본부 정재휘 위원 (jhjung@kpc.or.kr)
