英文分词语料库，共有198796行，每个单词都有词性标注，对句话的结束都有句号，便于处理。
覆盖大部分主盛行业的语料。
例如：Newsweek/NNP,/,trying/VBGto/TOkeep/VBpace/NNwith/INrival/JJTime/NNPmagazine/NN,/,announced/VBDnew/JJadvertising/NNrates/NNSfor/IN1990/CDand/CCsaid/VBDit/PRPwill/MDintroduce/VBa/DTnew/JJincentive/NNplan/NNfor/INadvertisers/NNS./.

"……UpdatedSeptember11,2015:App-localdeploymentoftheUniversalCRTissupported.Toobtainthebinariesforapp-localdeployment,installtheWindowsSoftwareDevelopmentKit(SDK)forWindows10.ThebinarieswillbeinstalledtoC:\ProgramFiles(x86)\WindowsKits\10\Redist\ucrt.YouwillneedtocopyalloftheDLLswithyourapp(notethatthesetofDLLsarenecessaryisdifferentondifferentversionsofWindows,soyoumustincludealloftheDLLsinorderforyourprogramtorunonallsupportedversionsofWindows).……"

LearningDataMiningWithPythonbook代码及实例数据

hands-onmachinelearningwithscikit-learnandtensorflow代码谜底

UndertheHoodwithNVMeoverFabrics.ppt

TableofContentsPreface.......................................................vii1.BasicImageHandlingandProcessing...............................11.1PIL—ThePythonImagingLibrary11.2Matplotlib31.3NumPy71.4SciPy161.5AdvancedExample:ImageDe-Noising23Exercises26ConventionsfortheCodeExamples272.LocalImageDescriptors........................................292.1HarrisCornerDetector292.2SIFT—Scale-InvariantFeatureTransform362.3MatchingGeotaggedImages44Exercises513.ImagetoImageMappings......................................533.1Homographies533.2WarpingImages573.3CreatingPanoramas70Exercises774.CameraModelsandAugmentedReality.............................794.1ThePin-HoleCameraModel794.2CameraCalibration844.3PoseEstimationfromPlanesandMarkers864.4AugmentedReality89Exercises98iii5.MultipleViewGeometry.......................................995.1EpipolarGeometry995.2ComputingwithCamerasand3DStructure1075.3MultipleViewReconstruction1135.4StereoImages120Exercises1256.ClusteringImages...........................................1276.1K-MeansClustering1276.2HierarchicalClustering1336.3SpectralClustering140Exercises1457.SearchingImages...........................................1477.1Content-BasedImageRetrieval1477.2VisualWords1487.3IndexingImages1517.4SearchingtheDatabaseforImages1557.5RankingResultsUsingGeometry1607.6BuildingDemosandWebApplications162Exercises1658.ClassifyingImageContent.....................................1678.1K-NearestNei

作者：AndreasC.Müller&SarahGuido内附电子书PDF版本以及全套code

该紧缩包包含了国外最新的Java神经网络教程，里面包含PDF教程与配套代码，供大家学习使用。

OpenStack架构设计指南当前最新(2015-11-02)版权©2014,2015OpenStack基金会Somerightsreserved.摘要欲充分利用OpenStack的优点，用户需要精心预备规划、设计及架构。
认真纳入用户的需求、揣摩透一些用例。
LicensedundertheApacheLicense,Version2.0(the"License");youmaynotusethisfileexceptincompliancewiththeLicense.

无水印，数字版，有目次。
MasteringOpenStack-SecondEdition:Design,deploy,andmanagecloudsinmidtolargeITinfrastructuresPaperback–April26,2017Discoveryourcompleteguidetodesigning,deploying,andmanagingOpenStack-basedcloudsinmid-to-largeITinfrastructureswithbestpractices,expertunderstanding,andmoreAboutThisBookDesignanddeployanOpenStack-basedcloudinyourmid-to-largeITinfrastructureusingautomationtoolsandbestpracticesKeepyourselfup-to-datewithvaluableinsightsintoOpenStackcomponentsandnewservicesinthelatestOpenStackreleaseDiscoverhowthenewfeaturesinthelatestOpenStackreleasecanhelpyourenterpriseandinfrastructureWhoThisBookIsForThisbookisforsystemadministrators,cloudengineers,andsystemarchitectswhowouldliketodeployanOpenStack-basedcloudinamid-to-largeITinfrastructure.Thisbookrequiresamoderatelevelofsystemadministrationandfamiliaritywithcloudconcepts.WhatYouWillLearnExplorethemainarchitecturedesignofOpenStackcomponentsandcore-by-coreservices,andhowtheyworktogetherDesigndifferenthighavailabilityscenariosandplanforano-single-point-of-failureenvironmentSetupamultinodeenvironmentinproductionusingorchestrationtoolsBoostOpenStack'sperformancewithadvancedconfigurationDelveintovarioushypervisorsandcontainertechnologysupportedbyOpenStackGetfamiliarwithdeploymentmethodsanddiscoverusecasesinarealproductionenvironmentAdopttheDevOpsstyleofautomationwhiledeployingandoperatinginanOpenStackenvironmentMonitorthecloudinfrastructureandmakedecisionsonmaintenanceandperformanceimprovement

在日常工作中，钉钉打卡成了我生活中不可或缺的一部分。然而，有时候这个看似简单的任务却给我带来了不少烦恼。 每天早晚，我总是得牢记打开钉钉应用，点击"工作台"，再找到"考勤打卡"进行签到。有时候因为工作忙碌，会忘记打卡，导致考勤异常，影响当月的工作评价。而且，由于我使用的是苹果手机，有时候系统更新后，钉钉的某些功能会出现异常，使得打卡变得更加麻烦。 另外，我的家人使用的是安卓手机，他们也经常抱怨钉钉打卡的繁琐。尤其是对于那些不太熟悉手机操作的长辈来说，每次打卡都是一次挑战。他们总是担心自己会操作失误，导致打卡失败。 为了解决这些烦恼，我开始思考是否可以通过编写一个全自动化脚本来实现钉钉打卡。经过一段时间的摸索和学习，我终于成功编写出了一个适用于苹果和安卓系统的钉钉打卡脚本。