Model evaluation, model selection, and algorithm selection in machine learning

Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data
https://becominghuman.ai/cheat-sheets-for-ai-neural-networks-machine-learning-deep-learning-big-data-678c51b4b463


幫你選擇分類器的分類器：Auto-WEKA
Auto-WEKA是由Kotthoff等人開發來Weka分類器套件，Auto-WEKA的論文「Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA」已經在2016年底發表在Journal of Machine Learning Research。
http://blog.pulipuli.info/2017/04/auto-weka-automatic-model-selection-and.html

Part I - The basics
http://sebastianraschka.com/blog/2016/model-evaluation-selection-part1.html
Part II - Bootstrapping and uncertainties
http://sebastianraschka.com/blog/2016/model-evaluation-selection-part2.html
Part III -Cross-validation and hyperparameter tuning
http://sebastianraschka.com/blog/2016/model-evaluation-selection-part3.html


【轉貼】2016 前 20 大 Python 機器學習開源項目
https://buzzorange.com/techorange/2016/12/19/2016-top-20-python-machine-learning-open-source-projects/