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Name: CathyZhang
Type: User
Name: CathyZhang
Type: User
精华机器学习,NLP,图像识别, 深度学习等人工智能领域学习资料,搜索,推荐,广告系统架构及算法技术资料整理
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
大数据/数据挖掘/推荐系统/机器学习相关资源
MapReduce, Spark, Java, and Scala for Data Algorithms Book
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现,项目已得到李沐老师的同意
:whale:基于 Flink 的商品实时推荐系统。使用了 redis 缓存热点数据。当用户产生评分行为时,数据由 kafka 发送到 flink,根据用户历史评分行为进行实时和离线推荐。实时推荐包括:基于行为和实时热门,离线推荐包括:历史热门、历史优质商品和 itemcf 。
:helicopter::rocket:基于Flink实现的商品实时推荐系统。flink统计商品热度,放入redis缓存,分析日志信息,将画像标签和实时记录放入Hbase。在用户发起推荐请求后,根据用户画像重排序热度榜,并结合协同过滤和标签两个推荐模块为新生成的榜单的每一个产品添加关联产品,最后返回新的用户列表。
基于Flink商品实时推荐系统
Learning with linux
讲解常见的机器学习算法
Classic papers and resources on recommendation
原理解析及代码实战,推荐算法也可以很简单 🔥 想要系统的学习推荐算法的小伙伴,欢迎 Star 或者 Fork 到自己仓库进行学习🚀 有任何疑问欢迎提 Issues,也可加文末的联系方式向我询问!
《推荐系统实践》代码实现
计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估
阅读过的推荐系统论文的归类总结,持续更新中…
tensorflow实战练习,包括强化学习、推荐系统、nlp等
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Some thing interesting about visualization, use data art
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.