Bfstack

Bookshelf

2017-06-03 Views:

那些年度过的时间

Book

2017年

(1)信息检索导论 - 读了70%
(2)项亮:推荐系统实践 - 读了两遍
(3)Lan GoodeFellow:deep learning - 读到了模型优化部分
(4)周志华:机器学习 - 挑着读几部分

2017前

(1) Tcp/ip 详解(卷1) – 评分:7.0
(2)Java编程思想
(3)Python CookBook
(4) 大型网站技术架构 – 核心原理与案例分析
(4) 本色(乐嘉)
(6) 请给我结果
(7)番茄工作方法图解
(8)黑客与画家
(9) 刘慈欣:三体
(10) 趁年轻,折腾吧(袁岳)
(11) 看见(柴静)

Paper

2017

(1)Wide & Deep Learning for Recommender Systems
(2)An introduction to ROC analysis
(3)Deep Neural Networks for YouTube Recommendations
(4)DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
(5)Large-Scale Sparse Logistic Regression
(6)Practical Lessons from Predicting Clicks on Ads at Facebook

2017前

(1) Bigtable:A Distributed Storage System for Structured Data (download)
(2) GFS:The Google File System (download)
(3) MapReduce:MapReduce: Simplied Data Processing on Large Clusters (download)
(4) Spanner:Google’s Globally-Distributed Database (download)
(5) Megastore: Providing Scalable, Highly Available Storage for Interactive Services (download)
(6) Pregel:A System for Large-Scale Graph Processing (download)
(7) Dremel: Interactive Analysis of Web-Scale Datasets (download)
(8) Caffeine: Large-scale Incremental Processing Using Distributed Transactions and Notications (download)
(9) Search The Web (download)

年终总结

(1)2017年自我总结-Atlas

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