Mining of Massive Dataset的中文版

DataSet 或 DataTable 导出到 Excel

这个是深度神经网络的工具类和数据集，里面包括：dnn_utils_v2_lr_utils_dataset

TE process数据集 包含21个类别的训练数据和测试数据 内容非常全面，内容格式为.dat文件，可使用textread函数直接导入到matlab中

制作PASCAL VOC 增强数据集的python脚本，和图片列表。

收集了2507个web服务的信息. QWS度量是使用作者开发的Web Service Broker(WSB)框架进行的. 与第一版相比主要有以下区别: (1)数量大大增加(365->2507) (2) 不包含WsRF ranking和classification参数

将压缩包下载下来，解压，将里面的两个文件放在项目路径下，在代码中直接导入就可以了。

Weizmann Dataset动作图片集，包括bend，jack，jump，pjump，run，side,skip,walk,wave-onehand,wave-twohand。一共提取9300张，适合机器学习的开发人使用

MScoco 数据集，2014-2015均有

著名的Netflix 智能推荐 百万美金大奖赛使用是数据集. 因为竞赛关闭, Netflix官网上已无法下载. Netflix provided a training data set of 100,480,507 ratings that 480,189 users gave to 17,770 movies. Each training rating is a quadruplet of the form . The user and movie fields are integer IDs, while grades are from 1 to 5 (integral) stars.[3] The qualifying data set contains over 2,817,131 triplets of the form , with grades known only to the jury. A participating team's algorithm must predict grades on the entire qualifying set, but they are only informed of the score for half of the data, the quiz set of 1,408,342 ratings. The other half is the test set of 1,408,789, and performance on this is used by the jury to determine potential prize winners. Only the judges know which ratings are in the quiz set, and which are in the test set—this arrangement is intended to make it difficult to hill climb on the test set. Submitted predictions are scored against the true grades in terms of root mean squared error (RMSE), and the goal is to reduce this error as much as possible. Note that while the actual grades are integers in the range 1 to 5, submitted predictions need not be. Netflix also identified a probe subset of 1,408,395 ratings within the training data set. The probe, quiz, and test data sets were chosen to have similar statistical properties. In summary, the data used in the Netflix Prize looks as follows: Training set (99,072,112 ratings not including the probe set, 100,480,507 including the probe set) Probe set (1,408,395 ratings) Qualifying set (2,817,131 ratings) consisting of: Test set (1,408,789 ratings), used to determine winners Quiz set (1,408,342 ratings), used to calculate leaderboard scores For each movie, title and year of release are provided in a separate dataset. No information at all is provided about users. In order to protect the privacy of customers, "some of the rating data for some customers in the training and qualifyin