Over110effectiverecipestohelpyoubuildandoperateOpenStackcloudcomputing,storage,networking,andautomationAboutThisBookExploremanynewfeaturesofOpenStack'sJunoandKiloreleasesInstall,configure,andadministercoreprojectswiththehelpofOpenStackObjectStorage,BlockStorage,andNeutronNetworkingservicesHarnesstheabilitiesofexperiencedOpenStackadministratorsandarchitects,andrunyourownprivatecloudsuccessfullyPractical,real-worldexamplesofeachserviceandanaccompanyingVagrantenvironmentthathelpsyoulearnquicklyInDetailOpenStackOpenSourcesoftwareisoneofthemostusedcloudinfrastructurestosupportsoftwaredevelopmentandbigdataanalysis.Itisdevelopedbyathrivingcommunityofindividualdevelopersfromaroundtheglobeandbackedbymostoftheleadingplayersinthecloudspacetoday.Itissimpletoimplement,massivelyscalable,andcanstorealargepoolofdataandnetworkingresources.OpenStackhasastrongecosystemthathelpsyouprovisionyourcloudstorageneeds.AddOpenStack'senterprisefeaturestoreducethecostofyourbusiness.Thisbookwillshowyouthestepstobuildupaprivatecloudenvironment.Atthebeginning,you'lldiscovertheusesofcloudservicessuchastheidentityservice,imageservice,andcomputeservice.You'lldiveintoNeutron,theOpenStackNetworkingservice,andgetyourhandsdirtywithconfiguringML2,networks,routers,andDistributedVirtualRouters.You'llthengathermoreexpertknowledgeonOpenStackcloudcomputingbymanagingyourcloud'ssecurityandmigration.Afterthat,wedelveintoOpenStackObjectstorageandhowtomanageserversandworkwithobjects,cluster,andstoragefunctionalities.Also,asyougodeeperintotherealmofOpenStack,you'lllearnpracticalexamplesofBlockstorage,LBaaS,andFWaaS:installationandconfigurationcoveredgroundup.Finally,youwilllearnOpenStackdashboard,AnsibleandForeman,Key

Review,'Amust-readresourceforanyonewhoisseriousaboutembracingtheopportunityofbigdata.',--CraigVaughan,GlobalVicePresidentatSAP,'Thisbookgoesbeyonddataanalytics101.It'stheessentialguideforthoseofus(allofus?)whosebusinessesarebuiltontheubiquityofdataopportunitiesandthenewmandatefordata-drivendecision-making.',--TomPhillips,CEOofMedia6DegreesandFormerHeadofGoogleSearchandAnalytics,'Dataisthefoundationofnewwavesofproductivitygrowth,innovation,andrichercustomerinsight.Onlyrecentlyviewedbroadlyasasourceofcompetitiveadvantage,dealingwellwithdataisrapidlybecomingtablestakestostayinthegame.Theauthors'deepappliedexperiencemakesthisamustread--awindowintoyourcompetitor'sstrategy.',--AlanMurray,SerialEntrepreneur;PartneratCoriolisVentures,'Thistimelybooksaysoutloudwhathasfinallybecomeapparent:inthemodernworld,DataisBusiness,andyoucannolongerthinkbusinesswithoutthinkingdata.ReadthisbookandyouwillunderstandtheSciencebehindthinkingdata.',--RonBekkerman,ChiefDataOfficeratCarmelVentures,'Agreatbookforbusinessmanagerswholeadorinteractwithdatascientists,whowishtobetterunderstandtheprinciplesandalgorithmsavailablewithoutthetechnicaldetailsofsingle-disciplinarybooks.',--RonnyKohavi,PartnerArchitectatMicrosoftOnlineServicesDivision,AbouttheAuthor,FosterProvostisProfessorandNECFacultyFellowattheNYUSternSchoolofBusinesswhereheteachesintheMBA,BusinessAnalytics,andDataScienceprograms.Hisaward-winningresearchisreadandcitedbroadly.Prof.Provosthasco-foundedseveralsuccessfulcompaniesfocusingondatascienceformarketing.,TomFawcettholdsaPh.D.inmachinelearningandhasworkedinindustryR&DformorethantwodecadesforcompaniessuchasGTELaboratories,NYNEX/VerizonLabs,andHPLabs.Hispublishedworkhasbecomestandar

BigDataAnalyticswithJava英文无水印pdfpdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开本资源转载自网络，如有侵权，请联系上传者或csdn删除本资源转载自网络，如有侵权，请联系上传者或csdn删除

解压密码share.weimo.infoFoundationsofModernNetworkingisacomprehensive,unifiedsurveyofmodernnetworkingtechnologyandapplicationsfortoday’sprofessionals,managers,andstudents.Dr.WilliamStallingsoffersclearandwell-organizedcoverageoffivekeytechnologiesthataretransformingnetworks:Software-DefinedNetworks(SDN),NetworkFunctionsVirtualization(NFV),QualityofExperience(QoE),theInternetofThings(IoT),andcloudbasedservices. Dr.Stallingsreviewscurrentnetworkecosystemsandthechallengestheyface–fromBigDataandmobilitytosecurityandcomplexity.Next,heofferscomplete,self-containedcoverageofeachnewsetoftechnologies:howtheywork,howtheyarearchitected,andhowtheycanbeappliedtosolverealproblems.Dr.Stallingspresentsachapter-lengthanalysisofemergingsecurityissuesinmodernnetworks.Heconcludeswithanup-todatediscussionofnetworkingcareers,includingimportantrecentchangesinrolesandskillrequirements. Coverage: ,解压密码share.weimo.info

大数据的书籍，非常的帮，BigDataAnalyticsTurningBigDataintoBigMoney

Today,machinelearningunderliesarangeofapplicationsweuseeveryday,fromproductrecommendationstovoicerecognition--aswellassomewedon'tyetuseeveryday,includingdriverlesscars.Itisthebasisofthenewapproachincomputingwherewedonotwriteprogramsbutcollectdata;theideaistolearnthealgorithmsforthetasksautomaticallyfromdata.Ascomputingdevicesgrowmoreubiquitous,alargerpartofourlivesandworkisrecordeddigitally,andas"BigData"hasgottenbigger,thetheoryofmachinelearning--thefoundationofeffortstoprocessthatdataintoknowledge--hasalsoadvanced.Inthisbook,machinelearningexpertEthemAlpaydinoffersaconciseoverviewofthesubjectforthegeneralreader,describingitsevolution,explainingimportantlearningalgorithms,andpresentingexampleapplications.Alpaydinoffersanaccountofhowdigitaltechnologyadvancedfromnumber-crunchingmainframestomobiledevices,puttingtoday'smachinelearningboomincontext.Hedescribesthebasicsofmachinelearningandsomeapplications;theuseofmachinelearningalgorithmsforpatternrecognition;artificialneuralnetworksinspiredbythehumanbrain;algorithmsthatlearnassociationsbetweeninstances,withsuchapplicationsascustomersegmentationandlearningrecommendations;andreinforcementlearning,whenanautonomousagentlearnsactsoastomaximizerewardandminimizepenalty.Alpaydinthenconsiderssomefuturedirectionsformachinelearningandthenewfieldof"datascience,"anddiscussestheethicalandlegalimplicationsfordataprivacyandsecurity.TableofContentsChapter1WhyWeAreInterestedInMachineLearningChapter2MachineLearning,Statistics,AndDataAnalyticsChapter3PatternRecognitionChapter4NeuralNetworksAndDeepLearningChapter5LearningClustersAndRecommendationsChapter6LearningToTakeActionsChapter7WhereDoWeGoFromHere?

SetupMesosondifferentoperatingsystemsUsetheMarathonandChronosframeworkstomanagemultipleapplicationsWorkwithMesosandDockerIntegrateMesoswithSparkandotherbigdataframeworksUsenetworkingfeaturesinMesosforeffectiveco妹妹unicationbetweencontainersConfigureMesosforhighavailabilityusingZookeeperSecureyourMesosclusterswithSASLandAuthorizationACLsSolveeverydayproblemsanddiscoverthebestpractices

Deeplearningandimageprocessingaretwoareasofgreatinteresttoacademicsandindustryprofessionalsalike.Theareasofapplicationofthesetwodisciplinesrangewidely,encompassingfieldssuchasmedicine,robotics,andsecurityandsurveillance.Theaimofthisbook,DeepLearningforImageProcessingApplications,istoofferconceptsfromthesetwoareasinthesameplatform,andthebookbringstogetherthesharedideasofprofessionalsfromacademiaandresearchaboutproblemsandsolutionsrelatingtothemultifacetedaspectsofthetwodisciplines.Thefirstchapterprovidesanintroductiontodeeplearning,andservesasthebasisformuchofwhatfollowsinthesubsequentchapters,whichcoversubjectsincluding:theapplicationofdeepneuralnetworksforimageclassification;handgesturerecognitioninrobotics;deeplearningtechniquesforimageretrieval;diseasedetectionusingdeeplearningtechniques;andthecomparativeanalysisofdeepdataandbigdata.Thebookwillbeofinteresttoallthosewhoseworkinvolvestheuseofdeeplearningandimageprocessingtechniques.

vmwareBDEBigDataExtensioICMv2.3-3

大数据bigdata可视化UI样例htmlDemo，可提取样式、规划、控件等。
大数据bigdata可视化UI样例htmlDemo，可提取样式、规划、控件等。

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。