VLCJisfreesoftware:youcanredistributeitand/ormodifyitunderthetermsoftheGNUGeneralPublicLicenseaspublishedbytheFreeSoftwareFoundation,eitherversion3oftheLicense,or(atyouroption)anylaterversion.VLCJisdistributedinthehopethatitwillbeuseful,butWITHOUTANYWARRANTY;withouteventheimpliedwarrantyofMERCHANTABILITYorFITNESSFORAPARTICULARPURPOSE.SeetheGNUGeneralPublicLicenseformoredetails.YoushouldhavereceivedacopyoftheGNUGeneralPublicLicensealongwithVLCJ.jna-4.1.0jna-platform-4.1.0vlcj-3.10.1

IllustratesarangeofstatisticalcomputationsinRusingtheRcpppackageProvidesageneralintroductiontoextendingRwithC++codeFeaturesanappendixforRusersnewtotheC++programminglanguageRcpppackagesarepresentedinthecontextofusefulapplicationcasestudies

ExploratoryDataAnalysisUsingRprovidesaclassroom-testedintroductiontoexploratorydataanalysis(EDA)andintroducestherangeof"interesting"–good,bad,andugly–featuresthatcanbefoundindata,andwhyitisimportanttofindthem.ItalsointroducesthemechanicsofusingRtoexploreandexplaindata.Thebookbeginswithadetailedoverviewofdata,exploratoryanalysis,andR,aswellasgraphicsinR.Itthenexploresworkingwithexternaldata,linearregressionmodels,andcraftingdatastories.ThesecondpartofthebookfocusesondevelopingRprograms,includinggoodprogrammingpracticesandexamples,workingwithtextdata,andgeneralpredictivemodels.Thebookendswithachapteron"keepingitalltogether"thatincludesmanagingtheRinstallation,managingfiles,documenting,andanintroductiontoreproduciblecomputing.Thebookisdesignedforbothadvancedundergraduate,entry-levelgraduatestudents,andworkingprofessionalswithlittletonopriorexposuretodataanalysis,modeling,statistics,orprogramming.itkeepsthetreatmentrelativelynon-mathematical,eventhoughdataanalysisisaninherentlymathematicalsubject.Exercisesareincludedattheendofmostchapters,andaninstructor'ssolutionmanualisavailable.AbouttheAuthor:RonaldK.PearsonholdsthepositionofSeniorDataScientistwithGeoVera,apropertyinsurancecompanyinFairfield,California,andhehaspreviouslyheldsimilarpositionsinavarietyofapplicationareas,includingsoftwaredevelopment,drugsafetydataanalysis,andtheanalysisofindustrialprocessdata.HeholdsaPhDinElectricalEngineeringandComputerSciencefromtheMassachusettsInstituteofTechnologyandhaspublishedconferenceandjournalpapersontopicsrangingfromnonlineardynamicmodelstructureselectiontotheproblemsofdisguisedmissingdatainpredictivemodeling.Dr.Pearsonhasauthoredorco-authoredbooksincludingExploringDatainEngineeri

深度学习(DeepLearning)是机器学习(MachineLearning)中近年来备受重视的一支，深度学习根源于类神经网络(ArtificialNeuralNetwork)模型，但今日深度学习的技术和它的前身已截然不同，目前最好的语音识别和影像辨识系统都是以深度学习技术来完成，你可能在很多不同的场合听过各种用深度学习做出的惊人应用(例如：最近红遍大街小巷的AlphaGo)，听完以后觉得心痒痒的，想要赶快使用这项强大的技术，却不知要从何下手学习，可以学习一下这个资料。
可以毫不犹豫的说，这个资料是我看过最系统，也最通俗易懂的关于深度学习的文章。
它是由台大教授李宏毅讲解一天搞懂深度学习讲课的PPT，PPT主要包含四部分：什么是深度学习、深度学习的各种小技巧、有记忆力的深度学习模型、深度学习的应用和展望。
OutlineLectureI:IntroductionofDeepLearningLecturell:TipsforTrainingDeepNeuralNetworkLecturelll:ariantsofneuralNetworkLecturev:NextWaveLectureIntroductionofDeeplearningOutlineoflecturentroductionofDeepLearningLet'sstartwithgeneralmachinelearningWhyDeep"HelloWorldforDeepLearningMachineLearningLookingforafunctionSpeechrecognitionHowareyouImagerecognition=“Cat"Playinggo5-5″(nextmoveDialogueSystemHello(whattheusersaid)(systemresponseImageRecognition:FrameworkcatAsetofModefunctioncat)=“money"dosnakeImageRecognition:FrameworkcatAsetofModelf(41)="cat"f(=“moneyfunctionBetter)=“dog"f2(nakeGoodnessoffunctionfSupervisedLearningTrainingDatamonkey”“cat"“dogImageRecognition:FrameworkcatModelTrainingTestinAsetofunctioncatStepGoodnessofPickthe"Best"FunctionUsingfunctionfStepStep3TrainingDatamonkey”“cat"“dogThreestepsfordeeplearningStepStepStep3:pickdefineasetgoodnessofthebestoffunctionfunctionfunctionDeepLearningissosimple3DCTENCENTCO

易觅，EameGeneral，文章利器，中、英文论文写作必备。

TheFMEA4thEditionisareferencemanualtobeusedbysupplierstoChryslerLLC,FordMotorCompany,andGeneralMotorsCorporationasaguidetoassisttheminthedevelopmentofbothDesignandProcessFMEAs.

Multivariatetimeseriesanalysisconsiderssimultaneouslymultipletimeseries.Itisabranchofmultivariatestatisticalanalysisbutdealsspecificallywithdependentdata.Itis,ingeneral,muchmorecomplicatedthantheunivariatetimeseriesanalysis,especiallywhenthenumberofseriesconsideredislarge.Westudythismorecomplicatedstatisticalanalysisinthisbookbecauseinreallifedecisionsofteninvolvemultipleinter-relatedfactorsorvariables.Understandingtherelationshipsbetweenthosefactorsandprovidingaccuratepredictionsofthosevariablesarevaluableindecisionmaking.Theobjectivesofmultivariatetimeseriesanalysisthusinclude1.Tostudythedynamicrelationshipsbetweenvariables2.Toimprovetheaccuracyofprediction

直接导入car.sqlcar数据库类型utf8_general_ci创建的时候注意一下2.修改根目录下面的config.php，修改数据库配置参数。
3.cache,buycars,contact,news,templates_c,upload文件夹设置修改写入权限4.后台管理地址为：http://您的域名/adm.php,管理员用户名为admin密码:1234565.后台登录清除缓存6.生成静态--全部7.删除DG文件夹

github下载不是一般的慢，这里面有opencv-3.4.zip、opencv_contrib-3.4.zip、ippicv_2017u3_lnx_intel64_general_20180518.tgz，至于face_landmark_model.dat，网上很多了，自己找下吧。
我Ubuntu16.04安装成功，别的版本都没有试过。

ProductDetailsPaperback:384pagesPublisher:Addison-WesleyProfessional;1edition(May19,2006)Language:EnglishISBN-10:0321349601ISBN-13:978-0321349606--------------------------------------------"IwasfortunateindeedtohaveworkedwithafantasticteamonthedesignandimplementationoftheconcurrencyfeaturesaddedtotheJavaplatforminJava5.0andJava6.Nowthissameteamprovidesthebestexplanationyetofthesenewfeatures,andofconcurrencyingeneral.Concurrencyisnolongerasubjectforadvancedusersonly.EveryJavadevelopershouldreadthisbook."--MartinBuchholzJDKConcurrencyCzar,SunMicrosystems"Forthepast30years,computerperformancehasbeendrivenbyMoore'sLaw;fromnowon,itwillbedrivenbyAmdahl'sLaw.Writingcodethateffectivelyexploitsmultipleprocessorscanbeverychallenging.JavaConcurrencyinPracticeprovidesyouwiththeconceptsandtechniquesneededtowritesafeandscalableJavaprogramsfortoday's--andtomorrow's--systems."--DoronRajwanResearchScientist,IntelCorp"Thisisthebookyouneedifyou'rewriting--ordesigning,ordebugging,ormaintaining,orcontemplating--multithreadedJavaprograms.Ifyou'veeverhadtosynchronizeamethodandyouweren'tsurewhy,youoweittoyourselfandyouruserstoreadthisbook,covertocover."--TedNewardAuthorofEffectiveEnterpriseJava"Brianaddressesthefundamentalissuesandcomplexitiesofconcurrencywithuncommonclarity.Thisbookisamust-readforanyonewhousesthreadsandcaresaboutperformance."--KirkPepperdineCTO,JavaPerformanceTuning.com"Thisbookcoversaverydeepandsubtletopicinaveryclearandconciseway,makingittheperfectJavaConcurrencyreferencemanual.Eachpageisfilledwiththeproblems(andsolutions!)thatprogrammersstrugglewitheveryday.EffectivelyexploitingconcurrencyisbecomingmoreandmoreimportantnowthatMoore'sLawisdeliveringmorecore

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。