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PostgreSQL 10 Administration Cookbook

Thisbookisfordatabaseadministrators,dataarchitects,developers,oranyonewithaninterestinplanningfor,orrunning,liveproductiondatabasesusingPostgreSQL.Itismostsuitedtothoselookingforhands-onsolutionstoanyproblemassociatedwithPostgreSQLadministration.

·13.7萬字

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Learning Linux Shell Scripting

LearningLinuxShellScriptingisidealforthosewhoareproficientatworkingwithLinuxandwanttolearnaboutshellscriptingtoimprovetheirefficiencyandpracticalskills.

·5.3萬字

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Practical DevOps

Ifyou'readeveloperorsystemadministratorlookingtotakeonlargerresponsibilitiesandunderstandhowtheinfrastructurethatbuildstoday'senterprisesworks,thisisthebookforyou.Thisbookwillalsohelpyougreatlyifyou'reanoperationsworkerwhowouldliketobettersupportdevelopers.YoudonotneedanypreviousknowledgeofDevOpstounderstandtheconceptsinthisbook.

·5.3萬字

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Hands-On Machine Learning with JavaScript

ThisbookisforyouifyouareaJavaScriptdeveloperwhowantstoimplementmachinelearningtomakeapplicationssmarter,gaininsightfulinformationfromthedata,andenterthefieldofmachinelearningwithoutswitchingtoanotherlanguage.WorkingknowledgeofJavaScriptlanguageisexpectedtogetthemostoutofthebook.

·10.1萬字

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OpenStack for Architects

OpenStackforArchitectsisforCloudarchitectswhoareresponsibletodesignandimplementaprivatecloudwithOpenStack.Systemengineersandenterprisearchitectswillalsofindthisbookuseful.BasicunderstandingofcoreOpenStackservices,aswellassomeworkingexperienceofconcepts,isrecommended.

·6萬字

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Mastering ServiceNow Scripting

ThisbookistargetedtowardServiceNowadministratorsoranyonewillingtolearninbuiltJavaScriptAPIsusedtoscriptandcustomizeServiceNowinstances.PriorexperiencewithServiceNowisrequired.

·4.6萬字

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Ansible 2 Cloud Automation Cookbook

Ifyouareasystemadministrator,infrastructureengineer,oraDevOpsengineerwhowantstoobtainpracticalknowledgeaboutAnsibleanditsclouddeliverables,thenthisbookisforyou.RecipesinthisbookaredesignedforpeoplewhowouldliketomanagetheircloudinfrastructuresefficientlyusingAnsible,whichisregardedasoneofthebesttoolsforcloudmanagementandautomation.

·3.4萬字

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Machine Learning for Healthcare Analytics Projects

MachineLearning(ML)haschangedthewayorganizationsandindividualsusedatatoimprovetheefficiencyofasystem.MLalgorithmsallowstrategiststodealwithavarietyofstructured,unstructured,andsemi-structureddata.MachineLearningforHealthcareAnalyticsProjectsispackedwithnewapproachesandmethodologiesforcreatingpowerfulsolutionsforhealthcareanalytics.ThisbookwillteachyouhowtoimplementkeymachinelearningalgorithmsandwalkyouthroughtheirusecasesbyemployingarangeoflibrariesfromthePythonecosystem.Youwillbuildfiveend-to-endprojectstoevaluatetheefficiencyofArtificialIntelligence(AI)applicationsforcarryingoutsimple-to-complexhealthcareanalyticstasks.Witheachproject,youwillgainnewinsights,whichwillthenhelpyouhandlehealthcaredataefficiently.Asyoumakeyourwaythroughthebook,youwilluseMLtodetectcancerinasetofpatientsusingsupportvectormachines(SVMs)andk-Nearestneighbors(KNN)models.Inthefinalchapters,youwillcreateadeepneuralnetworkinKerastopredicttheonsetofdiabetesinahugedatasetofpatients.Youwillalsolearnhowtopredictheartdiseasesusingneuralnetworks.Bytheendofthisbook,youwillhavelearnedhowtoaddresslong-standingchallenges,providespecializedsolutionsforhowtodealwiththem,andcarryoutarangeofcognitivetasksinthehealthcaredomain.

·2萬字

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Machine Learning with scikit：learn Quick Start Guide

Scikit-learnisarobustmachinelearninglibraryforthePythonprogramminglanguage.Itprovidesasetofsupervisedandunsupervisedlearningalgorithms.Thisbookistheeasiestwaytolearnhowtodeploy,optimize,andevaluatealloftheimportantmachinelearningalgorithmsthatscikit-learnprovides.Thisbookteachesyouhowtousescikit-learnformachinelearning.Youwillstartbysettingupandconfiguringyourmachinelearningenvironmentwithscikit-learn.Toputscikit-learntouse,youwilllearnhowtoimplementvarioussupervisedandunsupervisedmachinelearningmodels.Youwilllearnclassification,regression,andclusteringtechniquestoworkwithdifferenttypesofdatasetsandtrainyourmodels.Finally,youwilllearnaboutaneffectivepipelinetohelpyoubuildamachinelearningprojectfromscratch.Bytheendofthisbook,youwillbeconfidentinbuildingyourownmachinelearningmodelsforaccuratepredictions.

·3萬字

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Practical Ansible 2

Ansibleenablesyoutoautomatesoftwareprovisioning,configurationmanagement,andapplicationroll-outs,andcanbeusedasadeploymentandorchestrationtool.WhileAnsibleprovidessimpleyetpowerfulfeaturestoautomatemulti-layerenvironmentsusingagentlesscommunication,itcanalsosolveothercriticalITchallenges,suchasensuringcontinuousintegrationandcontinuousdeployment(CI/CD)withzerodowntime.Inthisbook,you'llworkwithAnsible2.9andlearntosolvecomplexissuesquicklywiththehelpoftask-orientedscenarios.You'llstartbyinstallingandconfiguringAnsibleonLinuxandmacOStoautomatemonotonousandrepetitiveITtasksandgettogripswithconceptssuchasplaybooks,inventories,andnetworkmodules.Asyouprogress,you'llgaininsightintotheYAMLsyntaxandlearnhowtoportbetweenAnsibleversions.Inadditiontothis,you'llalsounderstandhowAnsibleenablesyoutoorchestratemulti-layerenvironmentssuchasnetworks,containers,andthecloud.BytheendofthisAnsiblebook,you'llbewell-versedinwritingplaybooksandotherrelatedAnsiblecodetoovercomejustaboutallofyourITchallenges,frominfrastructure-as-codeprovisioningtoapplicationdeployments,andevenhandlingthemundaneday-to-daymaintenancetasksthattakeupsomuchvaluabletime.

·9.5萬字

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TensorFlow 2.0 Quick Start Guide

TensorFlowisoneofthemostpopularmachinelearningframeworksinPython.Withthisbook,youwillimproveyourknowledgeofsomeofthelatestTensorFlowfeaturesandwillbeabletoperformsupervisedandunsupervisedmachinelearningandalsotrainneuralnetworks.Aftergivingyouanoverviewofwhat'snewinTensorFlow2.0Alpha,thebookmovesontosettingupyourmachinelearningenvironmentusingtheTensorFlowlibrary.Youwillperformpopularsupervisedmachinelearningtasksusingtechniquessuchaslinearregression,logisticregression,andclustering.Youwillgetfamiliarwithunsupervisedlearningforautoencoderapplications.Thebookwillalsoshowyouhowtotraineffectiveneuralnetworksusingstraightforwardexamplesinavarietyofdifferentdomains.Bytheendofthebook,youwillhavebeenexposedtoalargevarietyofmachinelearningandneuralnetworkTensorFlowtechniques.

·3.6萬字

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Machine Learning with R Quick Start Guide

MachineLearningwithRQuickStartGuidetakesyouonadata-drivenjourneythatstartswiththeverybasicsofRandmachinelearning.Itgraduallybuildsuponcoreconceptssoyoucanhandlethevariedcomplexitiesofdataandunderstandeachstageofthemachinelearningpipeline.FromdatacollectiontoimplementingNaturalLanguageProcessing(NLP),thisbookcoversitall.Youwillimplementkeymachinelearningalgorithmstounderstandhowtheyareusedtobuildsmartmodels.Youwillcovertaskssuchasclustering,logisticregressions,randomforests,supportvectormachines,andmore.Furthermore,youwillalsolookatmoreadvancedaspectssuchastrainingneuralnetworksandtopicmodeling.Bytheendofthebook,youwillbeabletoapplytheconceptsofmachinelearning,dealwithdata-relatedproblems,andsolvethemusingthepowerfulyetsimplelanguagethatisR.

·4.4萬字

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TensorFlow Reinforcement Learning Quick Start Guide

Advancesinreinforcementlearningalgorithmshavemadeitpossibletousethemforoptimalcontrolinseveraldifferentindustrialapplications.Withthisbook,youwillapplyReinforcementLearningtoarangeofproblems,fromcomputergamestoautonomousdriving.ThebookstartsbyintroducingyoutoessentialReinforcementLearningconceptssuchasagents,environments,rewards,andadvantagefunctions.Youwillalsomasterthedistinctionsbetweenon-policyandoff-policyalgorithms,aswellasmodel-freeandmodel-basedalgorithms.YouwillalsolearnaboutseveralReinforcementLearningalgorithms,suchasSARSA,DeepQ-Networks(DQN),DeepDeterministicPolicyGradients(DDPG),AsynchronousAdvantageActor-Critic(A3C),TrustRegionPolicyOptimization(TRPO),andProximalPolicyOptimization(PPO).ThebookwillalsoshowyouhowtocodethesealgorithmsinTensorFlowandPythonandapplythemtosolvecomputergamesfromOpenAIGym.Finally,youwillalsolearnhowtotrainacartodriveautonomouslyintheTorcsracingcarsimulator.Bytheendofthebook,youwillbeabletodesign,build,train,andevaluatefeed-forwardneuralnetworksandconvolutionalneuralnetworks.Youwillalsohavemasteredcodingstate-of-the-artalgorithmsandalsotrainingagentsforvariouscontrolproblems.

·3.8萬字

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Hands-On Q-Learning with Python

Q-learningisamachinelearningalgorithmusedtosolveoptimizationproblemsinartificialintelligence(AI).ItisoneofthemostpopularfieldsofstudyamongAIresearchers.ThisbookstartsoffbyintroducingyoutoreinforcementlearningandQ-learning,inadditiontohelpingyougetfamiliarwithOpenAIGymaswellaslibrariessuchasKerasandTensorFlow.Afewchaptersintothebook,youwillgaininsightsintomodelfreeQ-learningandusedeepQ-networksanddoubledeepQ-networkstosolvecomplexproblems.Thisbookwillguideyouinexploringusecasessuchasself-drivingvehiclesandOpenAIGym’sCartPoleproblem.YouwillalsolearnhowtotuneandoptimizeQ-networksandtheirhyperparameters.Asyouprogress,youwillunderstandthereinforcementlearningapproachtosolvingreal-worldproblems.YouwillalsoexplorehowtouseQ-learningandrelatedalgorithmsinreal-worldapplicationssuchasscientificresearch.Towardtheend,you’llgainasenseofwhat’sinstoreforreinforcementlearning.Bytheendofthisbook,youwillbeequippedwiththeskillsyouneedtosolvereinforcementlearningproblemsusingQ-learningalgorithmswithOpenAIGym,Keras,andTensorFlow.

·4.5萬字

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Hands-On Data Analysis with Scala

Efficientbusinessdecisionswithanaccuratesenseofbusinessdatahelpsindeliveringbetterperformanceacrossproductsandservices.ThisbookhelpsyoutoleveragethepopularScalalibrariesandtoolsforperformingcoredataanalysistaskswithease.Thebookbeginswithaquickoverviewofthebuildingblocksofastandarddataanalysisprocess.YouwilllearntoperformbasictaskslikeExtraction,Staging,Validation,Cleaning,andShapingofdatasets.Youwilllaterdeepdiveintothedataexplorationandvisualizationareasofthedataanalysislifecycle.YouwillmakeuseofpopularScalalibrarieslikeSaddle,Breeze,Vegas,andPredictionIOforprocessingyourdatasets.Youwilllearnstatisticalmethodsforderivingmeaningfulinsightsfromdata.YouwillalsolearntocreateapplicationsforApacheSpark2.xoncomplexdataanalysis,inreal-time.Youwilldiscovertraditionalmachinelearningtechniquesfordoingdataanalysis.Furthermore,youwillalsobeintroducedtoneuralnetworksanddeeplearningfromadataanalysisstandpoint.Bytheendofthisbook,youwillbecapableofhandlinglargesetsofstructuredandunstructureddata,performexploratoryanalysis,andbuildingefficientScalaapplicationsfordiscoveringanddeliveringinsights

·5.9萬字

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PostgreSQL 11 Administration Cookbook

PostgreSQLisapowerful,opensourcedatabasemanagementsystemwithanenviablereputationforhighperformanceandstability.Withmanynewfeaturesinitsarsenal,PostgreSQL11allowsyoutoscaleupyourPostgreSQLinfrastructure.Thisbooktakesastep-by-step,recipe-basedapproachtoeffectivePostgreSQLadministration.Thebookwillintroduceyoutonewfeaturessuchaslogicalreplication,nativetablepartitioning,additionalqueryparallelism,andmuchmoretohelpyoutounderstandandcontrol,crashrecoveryandplanbackups.Youwilllearnhowtotackleavarietyofproblemsandpainpointsforanydatabaseadministratorsuchascreatingtables,managingviews,improvingperformance,andsecuringyourdatabase.Asyoumakesteadyprogress,thebookwilldrawattentiontoimportanttopicssuchasmonitoringroles,backup,andrecoveryofyourPostgreSQL11databasetohelpyouunderstandrolesandproduceasummaryoflogfiles,ensuringhighavailability,concurrency,andreplication.Bytheendofthisbook,youwillhavethenecessaryknowledgetomanageyourPostgreSQL11databaseefficiently.

·14.4萬字

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Docker High Performance（Second Edition）

Dockerisanenterprise-gradecontainerplatformthatallowsyoutobuildanddeployyourapps.Itsportableformatletsyourunyourcoderightfromyourdesktopworkstationstopopularcloudcomputingproviders.ThiscomprehensiveguidewillimproveyourDockerwork?owsandensureyourapplication'sproductionenvironmentrunssmoothly.ThisbookstartswitharefresheronsettingupandrunningDockeranddetailsthebasicsetupforcreatingaDockerSwarmcluster.YouwillthenlearnhowtoautomatethisclusterbyusingChefServerandCookbook.Afterthat,youwillruntheDockermonitoringsystemwithPrometheusandGrafana,anddeploytheELKstack.YouwillalsolearnsometipsforoptimizingDockerimages.AfterdeployingcontainerswiththehelpofJenkins,youwillthenmoveontoatutorialonusingApacheJMetertoanalyzeyourapplication'sperformance.YouwilllearnhowtouseDockerSwarmandNGINXtoload-balanceyourapplicationandhowcommondebuggingtoolsinLinuxcanbeusedtotroubleshootDockercontainers.Bytheendofthisbook,youwillbeabletointegratealltheoptimizationsthatyouhavelearnedandputeverythingintopracticeinyourapplications.

·3.2萬字

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Supervised Machine Learning with Python

Supervisedmachinelearningisusedinawiderangeofsectors(suchasfinance,onlineadvertising,andanalytics)becauseitallowsyoutotrainyoursystemtomakepricingpredictions,campaignadjustments,customerrecommendations,andmuchmorewhilethesystemself-adjustsandmakesdecisionsonitsown.Asaresult,it'scrucialtoknowhowamachine"learns"underthehood.Thisbookwillguideyouthroughtheimplementationandnuancesofmanypopularsupervisedmachinelearningalgorithmswhilefacilitatingadeepunderstandingalongtheway.You’llembarkonthisjourneywithaquickoverviewandseehowsupervisedmachinelearningdiffersfromunsupervisedlearning.Next,weexploreparametricmodelssuchaslinearandlogisticregression,non-parametricmethodssuchasdecisiontrees,andvariousclusteringtechniquestofacilitatedecision-makingandpredictions.Asweproceed,you'llworkhands-onwithrecommendersystems,whicharewidelyusedbyonlinecompaniestoincreaseuserinteractionandenrichshoppingpotential.Finally,you’llwrapupwithabriefforayintoneuralnetworksandtransferlearning.Bytheendofthisbook,you’llbeequippedwithhands-ontechniquesandwillhavegainedthepracticalknow-howyouneedtoquicklyandpowerfullyapplyalgorithmstonewproblems.

·3.7萬字

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Hands-On Microservices with Kubernetes

Kubernetesisamongthemostpopularopen-sourceplatformsforautomatingthedeployment,scaling,andoperationsofapplicationcontainersacrossclustersofhosts,providingacontainer-centricinfrastructure.Hands-OnMicroserviceswithKubernetesstartsbyprovidingyouwithin-depthinsightsintothesynergybetweenKubernetesandmicroservices.YouwilllearnhowtouseDelinkcious,whichwillserveasalivelabthroughoutthebooktohelpyouunderstandmicroservicesandKubernetesconceptsinthecontextofareal-worldapplication.Next,youwillgetuptospeedwithsettingupaCI/CDpipelineandconfiguringmicroservicesusingKubernetesConfigMaps.Asyoucoverlaterchapters,youwillgainhands-onexperienceinsecuringmicroservices,andimplementingREST,gRPCAPIs,andaDelinkciousdatastore.Inadditiontothis,you’llexploretheNuclioproject,runaserverlesstaskonKubernetes,andmanageandimplementdata-intensivetests.Towardtheconcludingchapters,you’lldeploymicroservicesonKubernetesandlearntomaintainawell-monitoredsystem.Finally,you’lldiscovertheimportanceofservicemeshesandhowtoincorporateIstiointotheDelinkciouscluster.Bytheendofthisbook,you’llhavegainedtheskillsyouneedtoimplementmicroservicesonKuberneteswiththehelpofeffectivetoolsandbestpractices.

·10.5萬字

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PyTorch 1.x Reinforcement Learning Cookbook

Reinforcementlearning(RL)isabranchofmachinelearningthathasgainedpopularityinrecenttimes.ItallowsyoutotrainAImodelsthatlearnfromtheirownactionsandoptimizetheirbehavior.PyTorchhasalsoemergedasthepreferredtoolfortrainingRLmodelsbecauseofitsefficiencyandeaseofuse.Withthisbook,you'llexploretheimportantRLconceptsandtheimplementationofalgorithmsinPyTorch1.x.Therecipesinthebook,alongwithreal-worldexamples,willhelpyoumastervariousRLtechniques,suchasdynamicprogramming,MonteCarlosimulations,temporaldifference,andQ-learning.You'llalsogaininsightsintoindustry-specificapplicationsofthesetechniques.Laterchapterswillguideyouthroughsolvingproblemssuchasthemulti-armedbanditproblemandthecartpoleproblemusingthemulti-armedbanditalgorithmandfunctionapproximation.You'llalsolearnhowtouseDeepQ-NetworkstocompleteAtarigames,alongwithhowtoeffectivelyimplementpolicygradients.Finally,you'lldiscoverhowRLtechniquesareappliedtoBlackjack,Gridworldenvironments,internetadvertising,andtheFlappyBirdgame.Bytheendofthisbook,you'llhavedevelopedtheskillsyouneedtoimplementpopularRLalgorithmsanduseRLtechniquestosolvereal-worldproblems.

·6.6萬字

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