data processing & analysing resources
- The key differences between Python 2.7.x and Python 3.x with examples ( http://sebastianraschka.com/Articles/2014_python_2_3_key_diff.html )
- Jupyter Notebook for Beginners: A Tutorial ( https://www.dataquest.io/blog/jupyter-notebook-tutorial/ )
- 台北故宫博物院open data ( https://theme.npm.edu.tw/opendata/index.aspx )
- 故宫博物院藏品 （http://www.dpm.org.cn/explore/collections.html ）
- 绘画、艺术家、图片：160000张名画数据库，分为年代和作家两个维度 （ https://gallerix.asia/ ）
- CBDB **历代人物传记资料库（ https://projects.iq.harvard.edu/chinesecbdb/home ）
- **综合社会调查 CGSS （ http://cgss.ruc.edu.cn/ ）
- World Values Survey WVS ( http://www.worldvaluessurvey.org/wvs.jsp )
- 538 （ https://github.com/fivethirtyeight/data ）
- UCI Machine Learning repository ( https://archive.ics.uci.edu/ml/datasets.html )
- COCO-common object in contex ( http://cocodataset.org/#home )
- Data from William Playfair's works （ https://github.com/jrnold/playfair-data ）
- Computer generated building footprints for the United States (https://github.com/Microsoft/USBuildingFootprints) 重点是学习通过遥感图像分析 抽取数据的手段
- 二战期间天气数据 （ https://www.kaggle.com/smid80/weatherww2 ）
- 台风数据 （ https://www.kaggle.com/noaa/hurricane-database ）
- Starbucks Locations Worldwide ( https://www.kaggle.com/starbucks/store-locations )
- Chinese Poetry ( https://github.com/chinese-poetry/chinese-poetry )
- World City Relational Data ( https://www.lboro.ac.uk/gawc/data.html )
- data world ( https://data.world/ )
- 经济学人开放数据 （ https://github.com/theeconomist/ ）
- world happiness report 历年数据 （ https://www.kaggle.com/mathurinache/world-happiness-report# ）
- Data Is Plural 有趣的数据集搜集网站 （ https://www.data-is-plural.com/ ）
- Removing the Background from an Image using scikit-image （ http://flothesof.github.io/removing-background-scikit-image.html ）
- shadow removal from a single image ( http://lxu.me/mypapers/XuL_ShadowRemoval.pdf )
- colors of Monet : use K-Means cluster to get dominent colors of an image ( http://www.carriesmith.ca/recurse/monet/Process/Colors%20of%20Monet%20-%20Color%20Processing.html )
- Introduction to K-Means clustering ( https://www.datascience.com/blog/k-means-clustering )
- tensorflow RCNN，一种sematic segmetation的技术(mask识别物体轮廓)
- Building a Custom Mask RCNN model with Tensorflow Object Detection ( https://towardsdatascience.com/building-a-custom-mask-rcnn-model-with-tensorflow-object-detection-952f5b0c7ab4 )
- Is Google Tensorflow Object Detection API the easiest way to implement image recognition? ( https://towardsdatascience.com/is-google-tensorflow-object-detection-api-the-easiest-way-to-implement-image-recognition-a8bd1f500ea0 )
- 關於影像辨識，所有你應該知道的深度學習模型 (https://medium.com/@syshen/%E7%89%A9%E9%AB%94%E5%81%B5%E6%B8%AC-object-detection-740096ec4540)
- hard voting vs soft voting ( https://stats.stackexchange.com/questions/349540/hard-voting-soft-voting-in-ensemble-based-methods )