├── Kaggle第01课：机器学习算法、工具与流程概述.pdf ├── Kaggle第02课：经济金融相关问题.pdf ├── Kaggle第03课：排序与CTR预估.pdf ├── Kaggle第04课：NPL自然语言处理类问题.pdf ├── Kaggle第05课：能源预测与分配问题.pdf ├── Kaggle第06课：走起~深度学习.pdf ├── Kaggle第07课：推荐与销量预测相关问题.pdf ├── Kaggle第08课：金融风控问题.pdf ├── README.md └── 补充 ├── kaggle-2014-criteo.pdf ├── kaggle-avazu.pdf ├── predicting-clicks-facebook.pdf ├── 京东电商广告和推荐系统的机器学习系统实践.pdf ├── 从FM到FFM.pdf ├── 百度凤巢：DNN在凤巢CTR预估中的应用.pdf ├── 腾讯广点通：效果广告中的机器学习技术.pdf ├── 金融风控大赛解决方案.pdf └── 阿里妈妈：大数据下的广告排序技术及实践.pdf /Kaggle第01课：机器学习算法、工具与流程概述.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/runrunbear/Kaggle_class_1/HEAD/Kaggle第01课：机器学习算法、工具与流程概述.pdf -------------------------------------------------------------------------------- /Kaggle第02课：经济金融相关问题.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/runrunbear/Kaggle_class_1/HEAD/Kaggle第02课：经济金融相关问题.pdf 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