BlockchainconceptsandtheHyperledgertechnologiesarehottopics.Hyperledgerisanopensourceprojecttocreateprivateblockchainapplicationsfordifferentdomainsincludingfinance,banking,supplychain,IoTandmuchmore.ThisbookwillbeaneasyreferencetoexploreandbuildblockchainnetworksusingHyperledgerservices.ThisbookwillstartwithexplainingtheblockchainevolutionandthenproceedtoanoverviewoftechnologieslikeEthereum,R3Corda,Coco,andHyperledger.WewilllearnhowtosetupandlaunchHyperledgerFabricinBluemix.WewilllookintothearchitectureandthecomponentsofHyperledgerFabricwhichareusedtobuildprivateblockchainapplications.LaterwewilldelveintohowwecaninteractwithHyperledgerFabricblockchaintobuildprivatenetworksfromscratchcoveringalltherequiredprinciplessuchaschaincode,smartcontracts,cryptocurrenciesandmuchmoreontheHyperledgernetwork.Bytheendofthisbook,youwillbeabletobuildanddeployyourowndecentralizedapplicationsusingHyperledgeraddressingkeypainpointsencounteredinblockchainlifecycle.

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

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

Masterthetechnicalskillsandindustryknow-howtobeginanexcitingcareerinstalling,configuring,andtroubleshootingcomputernetworkswiththecompletelyupdatedNETWORK+GUIDETONETWORKS,7E.YoucanprepareforsuccessonCompTIA'sNetwork+N10-006certificationexamwithfullymappedcoverageofallobjectives,includingprotocols,topologies,hardware,networkdesign,andtroubleshooting.Thiseditionaddressestoday'slatesttechnologywithnewfeaturesthatmakeessentialinformationeasilyaccessibleandhelpyouvisualizehigh-levelconcepts.NewOSIlayericonsvisuallylinkconceptsandtheOSImodel.Newandupdated"OntheJob"stories,ApplyingConceptsactivities,Hands-OnandCaseProjectsletyouexploreconceptsinmoredepth.TheNETWORK+GUIDETONETWORKS,7E'semphasisonreal-worldproblemsolvingprovidesthetoolsyouneedtosucceedinanycomputingenvironment.

cdh练习手册，包含了hadoop，spark，hbase，impala等练习

ReactNativehelpsdevelopersreusecodeacrossdifferentmobileplatformslikeiOSandAndroid.ThisbookwillshowyoueffectivedesignpatternsintheReactNativeworldandwillmakeyoureadyforprofessionaldevelopmentinbigteams.ThebookwillfocusonlyonthepatternsthatarerelevanttoJavaScript,ECMAScript,ReactandReactNative.However,youcansuccessfullytransferalotoftheskillsandtechniquestootherlanguages.Icallthem“Ideapatterns”.ThisbookwillstartwiththemoststandarddevelopmentpatternsinReactlikecomponentbuildingpatterns,stylingpatternsinReactNativeandthenextendthesepatternstoyourmobileapplicationusingrealworldpracticalexamples.Eachchaptercomeswithfull,separatesourcecodeofapplicationsthatyoucanbuildandrunonyourphone.Thebookisalsodivingintoarchitecturalpatterns.EspeciallyhowtoadaptMVCtoReactenvironment.YouwilllearnFluxarchitectureandhowReduxisimplementingit.Eachapproachwillbepresentedwithitsprosandcons.YouwilllearnhowtoworkwithexternaldatasourcesusinglibrarieslikeReduxthunkandReduxSaga.

AuthorAnkurPatelprovidespracticalknowledgeonhowtoapplyunsupervisedlearningusingtwosimple,production-readyPythonframeworks-scikit-learnandTensorFlowusingKeras.Withthehands-onexamplesandcodeprovided,youwillidentifydifficult-to-findpatternsindataandgaindeeperbusinessinsight,detectanomalies,performautomaticfeatureengineeringandselection,andgeneratesyntheticdatasets.Allyouneedisprogrammingandsomemachinelearningexperiencetogetstarted.

Python强化学习实战：应用OpenAIGym和TensorFlow精通强化学习和深度强化学习英文原版含代码Hands-OnReinforcementLearningwithPython:MasterreinforcementanddeepreinforcementlearningusingOpenAIGymandTensorFlowSudharsanRavichandiran

HandsOnReinforcementLearningwithPythonepub版本

最新版非常清晰的彩色的pdf+源代码，作者通过具体的例子，应用两款非常流行的Python框架：Scikit-Learn和TensorFlow，帮助你掌握构建机器学习系统所需要的概念和工具。

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。