翻译 | Improving Distributional Similarity with Lessons Learned from Word Embeddings 叶娜老师说:"读懂论文的最好方法是翻译它".我认为这是很好的科研训练,更加适合一个陌生领域的探索.因为论文读不懂,我总结无非是因为这个领域不熟悉.如果是自己熟悉的领域,那么读起来肯定会比较顺畅. 原文 摘要 [1] Recent trends suggest that neural-network-inspired wor…

原文:http://googleresearch.blogspot.jp/2010/04/lessons-learned-developing-practical.html Lessons learned developing a practical large scale machine learning system Tuesday, April 06, 2010 Posted by Simon Tong, Google Research When faced with a hard pre…

Lessons learned from manually classifying CIFAR-10 Apr 27, 2011 CIFAR-10 Note, this post is from 2011 and slightly outdated in some places. Statistics. CIFAR-10 consists of 50,000 training images, all of them in 1 of 10 categories (displayed left). T…

Lessons Learned from Developing a Data Product For an assignment I was asked to develop a visual ‘data product’ that informed decisions on video game ratings taking as an indicator their ranking on the MetaCritic site. I decided to use RStudio’s Shin…

Today I troubleshooted an Elasticsearch-cluster-down issue. Several lessons were learned: When many elasticsearch cluster nodes are restarted, to avoid HEAP spike, better to temporarily stop all connection attempts; Avoid setting allow_primary=true w…

问题/现象: 业务信息流转的某些环节,会向相关人员发送通知邮件,邮件中附带有链接,供相关人员进入察看或处理业务.客户要求邮件中的链接,需要进行限制,只有特定人员才能进入处理或察看.总管想了想,应道没问题,不一会儿就改好了,在业务信息的查询方法中添加了限制——非处理人不得进入.测试这边,忙得脚不沾地,一人扛了两个项目的测试,但还是按照预先设计的测试用例,对该修改进行了测试,测试结果ok,非处理人通过邮件链接进入后,确实提示了“你没有权限,翻滚着离去吧”. 当晚发布生产后,客户一封邮件甩过来:管理员…

Link of the Paper: https://arxiv.org/abs/1609.06647 A Correlative Paper: Show and Tell: A Neural Image Caption Generator (Link of the Paper: https://arxiv.org/abs/1411.4555) Main Points ( Improvements Over the CVPR2015 Model  ): Image Model Improveme…

昨天总结了深度学习的资料,今天把机器学习的资料也总结一下(友情提示:有些网站需要"科学上网"^_^) 推荐几本好书: 1.Pattern Recognition and Machine Learning (by Hastie, Tibshirani, and Friedman's ) 2.Elements of Statistical Learning(by Bishop's) 这两本是英文的,但是非常全,第一本需要有一定的数学基础,第可以先看第二本.如果看英文觉得吃力,推荐看一下下面…

转自:机器学习(Machine Learning)&深度学习(Deep Learning)资料 <Brief History of Machine Learning> 介绍:这是一篇介绍机器学习历史的文章,介绍很全面,从感知机.神经网络.决策树.SVM.Adaboost到随机森林.Deep Learning. <Deep Learning in Neural Networks: An Overview> 介绍:这是瑞士人工智能实验室Jurgen Schmidhuber写的最…

<Brief History of Machine Learning> 介绍:这是一篇介绍机器学习历史的文章,介绍很全面,从感知机.神经网络.决策树.SVM.Adaboost到随机森林.Deep Learning. <Deep Learning in Neural Networks: An Overview> 介绍:这是瑞士人工智能实验室Jurgen Schmidhuber写的最新版本<神经网络与深度学习综述>本综述的特点是以时间排序,从1940年开始讲起,到60-80…