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R_training_Project_1使用R项目1进行数据分析：使用NHTS2017数据集进行探索性数据分析调查名称：017全国家庭旅行调查-加利福尼亚附加项目资料来源：:团队Spreasheet数据说明包含CSV文件1.householddata2.locationdata3.persondata4.Tripsdata5.vehiclesdata贴标尝试使用thsc-nhts17-caltranscodebook.xlsx标记值使用字典tsdc-nhts17-caltrans-datadictionary.pdf了解数据缺失值缺少的值已编码为lile-9，-8，-7等。
检查标签是否正确指示1.Importingandunderstandingthedata2.Examplesofdataaggreg

华为路由器vlanospfripstatic单臂多臂三层链路聚合dhcpppppppoe的配置

SpikingNeuronModels:Neuronsinthebraincommunicatebyshortelectricalpulses,theso-calledactionpotentialsorspikes.Howcanweunderstandtheprocessofspikegeneration?Howcanweunderstandinformationtransmissionbyneurons?Whathappensifthousandsofneuronsarecoupledtogetherinaseeminglyrandomnetwork?Howdoesthenetworkconnectivitydeterminetheactivitypatterns?And,viceversa,howdoesthespikeactivityinfluencetheconnectivitypattern?Thesequestionsareaddressedinthisintroductorytextaimedatthosetakingcoursesincomputationalneuroscience,theoreticalbiology,neuronalmodeling,biophysics,orneuralnetworks.Theauthorsfocusonphenomenologicalapproachessothatbeginnerscangettogripswiththetheoreticalconceptsbeforeconfrontingthewealthofdetailinbiologicalsystems.ThebookisinthreePartsdealing,inorder,withneuronsandconnections,collectivebehaviorinnetworks,andsynapticplasticityanditsroleinlearning,memory,anddevelopment.Eachchapterendswithaliteraturesurvey,andacomprehensivebibliographyisincluded.Assuchthebookwillalsointroducereaderstocurrentresearch.

GettogripswithmodernsoftwaredemandsbylearningtheeffectiveusesofRust'spowerfulmemorysafety.KeyFeaturesLearnandimprovethesequentialperformancecharacteristicsofyoursoftwareUnderstandtheuseofoperatingsystemprocessesinahigh-scaleconcurrentsystemLearnofthevariouscoordinationmethodsavailableintheStandardlibraryBookDescriptionMostprogramminglanguagescanreallycomplicatethings,especiallywithregardtounsafememoryaccess.Theburdenonyou,theprogrammer,liesacrosstwodomains:understandingthemodernmachineandyourlanguage'spain-points.Thisbookwillteachyoutohowtomanageprogramperformanceonmodernmachinesandbuildfast,memory-safe,andconcurrentsoftwareinRust.ItstartswiththefundamentalsofRustanddiscussesmachinearchitectureconcepts.YouwillbetakenthroughwaystomeasureandimprovetheperformanceofRustcodesystematicallyandhowtowritecollectionswithconfidence.YouwilllearnabouttheSyncandSendtraitsappliedtothreads,andcoordinatethreadexecutionwithlocks,atomicprimitives,data-parallelism,andmore.ThebookwillshowyouhowtoefficientlyembedRustinC++codeandexplorethefunctionalitiesofvariouscratesformultithreadedapplications.Itexploresimplementationsindepth.Youwillknowhowamutexworksandbuildseveralyourself.Youwillmasterradicallydifferentapproachesthatexistintheecosystemforstructuringandmanaginghigh-scalesystems.Bytheendofthebook,youwillfeelcomfortablewithdesigningsafe,consistent,parallel,andhigh-performanceapplicationsinRust.WhatyouwilllearnProbeyourprogramsforperformanceandaccuracyissuesCreateyourownthreadingandmulti-processingenvironmentinRustUsecoarselocksfromRust’sStandardlibrarySolvecommonsynchronizationproblemsoravoidsynchronizationusingatomicprogrammingBuildlock-free/wait-freestructuresinRustandunderstandtheirimplementat

TheJupyterNotebookallowsyoutocreateandsharedocumentsthatcontainlivecode,equations,visualizations,andexplanatorytext.TheJupyterNotebooksystemisextensivelyusedindomainssuchasdatacleaningandtransformation,numericalsimulation,statisticalmodeling,andmachinelearning.LearningJupyter5willhelpyougettogripswithinteractivecomputingusingreal-worldexamples.ThebookstartswithadetailedoverviewoftheJupyterNotebooksystemanditsinstallationindifferentenvironments.Next,youwilllearntointegratetheJupytersystemwithdifferentprogramminglanguagessuchasR,Python,Java,JavaScript,andJulia,andexplorevariousversionsandpackagesthatarecompatiblewiththeNotebooksystem.Movingahead,youwillmasterinteractivewidgetsandnamespacesandworkwithJupyterinamulti-usermode.Bytheendofthisbook,youwillhaveusedJupyterwithabigdatasetandbeabletoapplyallthefunctionalitiesyou’veexploredthroughoutthebook.YouwillalsohavelearnedallabouttheJupyterNotebookandbeabletostartperformingdatatransformation,numericalsimulation,anddatavisualization.

Deeplearningsimplifiedbytakingsupervised,unsupervised,andreinforcementlearningtothenextlevelusingthePythonecosystemTransferlearningisamachinelearning(ML)techniquewhereknowledgegainedduringtrainingasetofproblemscanbeusedtosolveothersimilarproblems.Thepurposeofthisbookistwo-fold;firstly,wefocusondetailedcoverageofdeeplearning(DL)andtransferlearning,comparingandcontrastingthetwowitheasy-to-followconceptsandexamples.Thesecondareaoffocusisreal-worldexamplesandresearchproblemsusingTensorFlow,Keras,andthePythonecosystemwithhands-onexamples.ThebookstartswiththekeyessentialconceptsofMLandDL,followedbydepictionandcoverageofimportantDLarchitecturessuchasconvolutionalneuralnetworks(CNNs),deepneuralnetworks(DNNs),recurrentneuralnetworks(RNNs),longshort-termmemory(LSTM),andcapsulenetworks.Ourfocusthenshiftstotransferlearningconcepts,suchasmodelfreezing,fine-tuning,pre-trainedmodelsincludingVGG,inception,ResNet,andhowthesesystemsperformbetterthanDLmodelswithpracticalexamples.Intheconcludingchapters,wewillfocusonamultitudeofreal-worldcasestudiesandproblemsassociatedwithareassuchascomputervision,audioanalysisandnaturallanguageprocessing(NLP).Bytheendofthisbook,youwillbeabletoimplementbothDLandtransferlearningprinciplesinyourownsystems.WhatyouwilllearnSetupyourownDLenvironmentwithgraphicsprocessingunit(GPU)andCloudsupportDelveintotransferlearningprincipleswithMLandDLmodelsExplorevariousDLarchitectures,includingCNN,LSTM,andcapsulenetworksLearnaboutdataandnetworkrepresentationandlossfunctionsGettogripswithmodelsandstrategiesintransferlearningWalkthroughpotentialchallengesinbuildingcomplextransferlearningmodelsfromscratchExplorereal-worldresearchproblemsrelatedtocompute

2017年５月的新书，pdf版。
BookDescriptionInthissecondedition,youwillgettogripswiththelatestfeaturesofOpenStack.StartingwithanoverviewoftheOpenStackarchitecture,you'llseehowtoadopttheDevOpsstyleofautomationwhiledeployingandoperatinginanOpenStackenvironment.We'llshowyouhowtocreateyourownOpenStackprivatecloud.Thenyou'lllearnaboutvarioushypervisorsandcontainertechnologysupportedbyOpenStack.You'llgetanunderstandingaboutthesegregationofcomputenodesbasedonreliabilityandavailabilityneeds.We'llcovervariousstoragetypesinOpenStackandadvancednetworkingaspectssuchasSDNandNFV.Next,you'llunderstandtheOpenStackinfrastructurefromaclouduserpointofview.Movingon,you'lldeveloptroubleshootingskills,andgetacomprehensiveunderstandingofservicessuchashighavailabilityandfailoverinOpenStack.Finally,youwillgainexperienceofrunningacentralizedloggingserverandmonitoringOpenStackservices.ThebookwillshowyouhowtocarryoutperformancetuningbasedonOpenStackservicelogs.YouwillbeabletomasterOpenStackbenchmarkingandperformancetuning.Bytheendofthebook,you'llbereadytotakestepstodeployandmanageanOpenStackcloudwiththelatestopensourcetechnologies.

NeurIPS-2020-no-regret-learning-dynamics-for-extensive-form-correlated-equilibrium-Paper

版权法保护计算机软件的主流地位八十年代中后期，以美国为首的很多国家开始通过修订版权法，把计算机软件纳入了版权法的保护客体。
1980年12月，美国修订了《版权法》，从立法上正式确认了计算机软件作为一种一般文字作品属于版权法保护客体。
1985年日本修改版权法，对计算机软件加以版权保护。
1991年5月14日，欧共体部长理事会颁布了《计算机程序法律保护指令》，对保护对象、程序作者、反向工程、特殊保护措施等作了详细规定。
由此，欧共体在计算机程序法律保护问题上最终引进了统一的版权法保护体系。
1994年4月世界贸易组织签署了TRIPS协议，即《与贸易有关的知识产权协议》，该协议第10条第1款规定：成员国或成员地区都必须把计算机程序作为伯尔尼公约中所指的“文字作品”给予保护。
TRIPS协议作为WTO的基础性协议之一，是第一个明确规定计算机软件版权保护的国际条约。
该协议为在全世界范围内建立计算机软件版权法律保护制度奠定了基础，也标志着版权模式在计算机软件的知识产权保护中己占据了主导地位。
目前，全世界己经有60多个国家和地区采用版权法保护计算机软件，这些国家有的采取传统版权法保护计算机软件(如美国)，有的在版权法下专门制定计算机保护法规(如中国)，还有的在原版权法中加入针对计算机软件的专门条款，如欧共体有关国家。

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。