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KubernetesandDevOpsarethetwopillarsthatcankeepyourbusinessatthetopbyensuringhighperformanceofyourITinfrastructure.IntroductiontoDevOpswithKuberneteswillhelpyoudeveloptheskillsyouneedtoimproveyourDevOpswiththepowerofKubernetes.ThebookbeginswithanoverviewofKubernetesprimitivesandDevOpsconcepts.You'llunderstandhowKubernetescanassistyouwithovercomingawiderangeofreal-worldoperationchallenges.Youwillgettogripswithcreatingandupgradingacluster,andthenlearnhowtodeploy,update,andscaleanapplicationonKubernetes.Asyouadvancethroughthechapters,you’llbeabletomonitoranapplicationbysettingupapodfailurealertonPrometheus.ThebookwillalsoguideyouinconfiguringAlertmanagertosendalertstotheSlackchannelandtracedownaproblemontheapplicationusingkubectlcommands.Bytheendofthisbook,you’llbeabletomanagethelifecycleofsimpletocomplexapplicationsonKuberneteswithconfidence.

·5.4萬字

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Microsoft System Center Configuration Manager Advanced Deployment

IfyouareanexperiencedConfigurationManageradministratorlookingtoadvanceyourcareerorgetmorefromyourcurrentenvironment,thenthisbookisidealforyou.PriorexperienceofdeployingandmanagingaConfigurationManagersitewouldbehelpfulinfollowingtheexamplesthroughoutthisbook.

·6.3萬字

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Practical Internet of Things with JavaScript

ThisbooktargetsIoTenthusiastsandwebdeveloperswhowouldliketobuildIoT-basedapplicationswithRaspberryPi,ArduinoandJavaScript.Someknowledgeaboutelectronicsandfamiliaritywithprogrammingconcepts(JavaScript-ES5/ES6)isexpected.

·3.9萬字

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Microsoft System Center Confi guration Manager

Thisbookisastep-by-steptutorialthatguidesyouthroughthekeystepsinimplementingbestsolutionsforhighavailabilityandperformancetuning.Itissplitintotwodistinctapproaches:clientandsitesideHAandoptimization.MicrosoftSCCMHighAvailabilityandPerformanceTuningisforITprofessionalsandconsultantsworkingwithConfigurationManagerwhowishtolearntheskillstodeployaredundantandscalablesolution.

·2.8萬字

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Mastering Kibana 6.x

KibanaisoneofthepopulartoolsamongdataenthusiastsforslicinganddicinglargedatasetsanduncoveringBusinessIntelligence(BI)withthehelpofitsrichandpowerfulvisualizations.Tobeginwith,MasteringKibana6.xquicklyintroducesyoutothefeaturesofKibana6.x,beforeteachingyouhowtocreatesmartdashboardsinnotime.Youwillexploremetricanalyticsandgraphexploration,followedbyunderstandinghowtoquicklycustomizeKibanadashboards.Inadditiontothis,youwilllearnadvancedanalyticssuchasmaps,hits,andlistanalytics.Allthiswillhelpyouenhanceyourskillsinrunningandcomparingmultiplequeriesandfilters,influencingyourdatavisualizationskillsatscale.WithKibana’sTimelionfeature,youcananalyzetimeseriesdatawithhistogramsandstatsanalytics.Bytheendofthisbook,youwillhavecreatedaspeedymachinelearningjobusingX-Packcapabilities.

·5.7萬字

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PowerShell Core for Linux Administrators Cookbook

PowerShellCore,theopensource,cross-platformthatisbasedontheopensource,cross-platform.NETCore,isnotashellthatcameoutbyaccident;itwasintentionallycreatedtobeversatileandeasytolearnatthesametime.PowerShellCoreenablesautomationonsystemsrangingfromtheRaspberryPitothecloud.PowerShellCoreforLinuxAdministratorsCookbookusessimple,real-worldexamplesthatteachyouhowtousePowerShelltoeffectivelyadministeryourenvironment.Asyoumakeyourwaythroughthebook,youwillcoverinterestingrecipesonhowPowerShellCorecanbeusedtoquicklyautomatecomplex,repetitive,andtime-consumingtasks.Intheconcludingchapters,youwilllearnhowtodevelopscriptstoautomatetasksthatinvolvesystemsandenterprisemanagement.Bytheendofthisbook,youwillhavelearnedabouttheautomationcapabilitiesofPowerShellCore,includingremotemanagementusingOpenSSH,cross-platformenterprisemanagement,workingwithDockercontainers,andmanagingSQLdatabases.

·10.3萬字

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Learn Ansible

LearnAnsibleisperfectforsystemadministratorsanddeveloperswhowanttotaketheircurrentworkflowsandtransformthemintorepeatableplaybooksusingAnsible.NopriorknowledgeofAnsibleisrequired.

·9.7萬字

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Kibana 7 Quick Start Guide

TheElasticStackisgrowingrapidlyand,daybyday,additionaltoolsarebeingaddedtomakeitmoreeffective.ThisbookendeavorstoexplainalltheimportantaspectsofKibana,whichisessentialforutilizingitsfullpotential.ThisbookcoversthecoreconceptsofKibana,withchapterssetoutinacoherentmannersothatreaderscanadvancetheirlearninginastep-by-stepmanner.Thefocusisonapracticalapproach,therebyenablingthereadertoapplythoseexamplesinrealtimeforabetterunderstandingoftheconceptsandtoprovidethemwiththecorrectskillsinrelationtothetool.Withitssuccinctexplanations,itisquiteeasyforareadertousethisbookasareferenceguideforlearningbasictoadvancedimplementationsofKibana.Thepracticalexamples,suchasthecreationofKibanadashboardsfromCSVdata,applicationRDBMSdata,systemmetricsdata,logfiledata,APMagents,andsearchresults,canprovidereaderswithanumberofdifferentdrop-offpointsfromwheretheycanfetchanytypeofdataintoKibanaforthepurposeofanalysisordashboarding.

·3.2萬字

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Machine Learning with R

Solvereal-worlddataproblemswithRandmachinelearningKeyFeatures*Thirdeditionofthebestselling,widelyacclaimedRmachinelearningbook,updatedandimprovedforR3.6andbeyond*HarnessthepowerofRtobuildflexible,effective,andtransparentmachinelearningmodels*Learnquicklywithaclear,hands-onguidebyexperiencedmachinelearningteacherandpractitioner,BrettLantzBookDescriptionMachinelearning,atitscore,isconcernedwithtransformingdataintoactionableknowledge.Roffersapowerfulsetofmachinelearningmethodstoquicklyandeasilygaininsightfromyourdata.MachineLearningwithR,ThirdEditionprovidesahands-on,readableguidetoapplyingmachinelearningtoreal-worldproblems.WhetheryouareanexperiencedRuserornewtothelanguage,BrettLantzteachesyoueverythingyouneedtouncoverkeyinsights,makenewpredictions,andvisualizeyourfindings.Thisnew3rdeditionupdatestheclassicRdatasciencebooktoR3.6withnewerandbetterlibraries,adviceonethicalandbiasissuesinmachinelearning,andanintroductiontodeeplearning.Findpowerfulnewinsightsinyourdata;discovermachinelearningwithR.Whatyouwilllearn*Discovertheoriginsofmachinelearningandhowexactlyacomputerlearnsbyexample*PrepareyourdataformachinelearningworkwiththeRprogramminglanguage*ClassifyimportantoutcomesusingnearestneighborandBayesianmethods*Predictfutureeventsusingdecisiontrees,rules,andsupportvectormachines*Forecastnumericdataandestimatefinancialvaluesusingregressionmethods*Modelcomplexprocesseswithartificialneuralnetworks—thebasisofdeeplearning*Avoidbiasinmachinelearningmodels*Evaluateyourmodelsandimprovetheirperformance*ConnectRtoSQLdatabasesandemergingbigdatatechnologiessuchasSpark,H2O,andTensorFlowWhothisbookisforDatascientists,students,andotherpractitionerswhowantaclear,accessibleguidetomachinelearningwithR.

·12.1萬字

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Practical Computer Vision

ThisbookisformachinelearningpractitionersanddeeplearningenthusiastswhowanttounderstandandimplementvarioustasksassociatedwithComputerVisionandimageprocessinginthemostpracticalmannerpossible.SomeprogrammingexperiencewouldbebeneficialwhileknowingPythonwouldbeanaddedbonus.

·4.1萬字

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Ensemble Machine Learning Cookbook

Ensemblemodelingisanapproachusedtoimprovetheperformanceofmachinelearningmodels.Itcombinestwoormoresimilarordissimilarmachinelearningalgorithmstodeliversuperiorintellectualpowers.Thisbookwillhelpyoutoimplementpopularmachinelearningalgorithmstocoverdifferentparadigmsofensemblemachinelearningsuchasboosting,bagging,andstacking.TheEnsembleMachineLearningCookbookwillstartbygettingyouacquaintedwiththebasicsofensembletechniquesandexploratorydataanalysis.You'llthenlearntoimplementtasksrelatedtostatisticalandmachinelearningalgorithmstounderstandtheensembleofmultipleheterogeneousalgorithms.Itwillalsoensurethatyoudon'tmissoutonkeytopics,suchaslikeresamplingmethods.Asyouprogress,you’llgetabetterunderstandingofbagging,boosting,stacking,andworkingwiththeRandomForestalgorithmusingreal-worldexamples.Thebookwillhighlighthowtheseensemblemethodsusemultiplemodelstoimprovemachinelearningresults,ascomparedtoasinglemodel.Intheconcludingchapters,you'lldelveintoadvancedensemblemodelsusingneuralnetworks,naturallanguageprocessing,andmore.You’llalsobeabletoimplementmodelssuchasfrauddetection,textcategorization,andsentimentanalysis.Bytheendofthisbook,you'llbeabletoharnessensembletechniquesandtheworkingmechanismsofmachinelearningalgorithmstobuildintelligentmodelsusingindividualrecipes.

·5.5萬字

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Hands-On Artificial Intelligence for IoT

Therearemanyapplicationsthatusedatascienceandanalyticstogaininsightsfromterabytesofdata.Theseapps,however,donotaddressthechallengeofcontinuallydiscoveringpatternsforIoTdata.InHands-OnArtificialIntelligenceforIoT,wecovervariousaspectsofartificialintelligence(AI)anditsimplementationtomakeyourIoTsolutionssmarter.ThisbookstartsbycoveringtheprocessofgatheringandpreprocessingIoTdatagatheredfromdistributedsources.YouwilllearndifferentAItechniquessuchasmachinelearning,deeplearning,reinforcementlearning,andnaturallanguageprocessingtobuildsmartIoTsystems.YouwillalsoleveragethepowerofAItohandlereal-timedatacomingfromwearabledevices.Asyouprogressthroughthebook,techniquesforbuildingmodelsthatworkwithdifferentkindsofdatageneratedandconsumedbyIoTdevicessuchastimeseries,images,andaudiowillbecovered.UsefulcasestudiesonfourmajorapplicationareasofIoTsolutionsareakeyfocalpointofthisbook.Intheconcludingchapters,youwillleveragethepowerofwidelyusedPythonlibraries,TensorFlowandKeras,tobuilddifferentkindsofsmartAImodels.Bytheendofthisbook,youwillbeabletobuildsmartAI-poweredIoTappswithconfidence.

·7.5萬字

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Bash Quick Start Guide

BashandshellscriptprogrammingiscentraltousingLinux,butithasmanypeculiarpropertiesthatarehardtounderstandandunfamiliartomanyprogrammers,withalotofmisleadingandevenriskyinformationonline.BashQuickStartGuidetacklestheseproblemsheadon,andshowsyouthebestpracticesofshellscriptprogramming.ThisbookteacheseffectiveshellscriptprogrammingwithBash,andisidealforpeoplewhomayhaveuseditscommandlinebutneverreallylearneditindepth.Thisbookwillshowyouhowevensimpleprogrammingconstructsintheshellcanspeedupandautomateanykindofdailycommand-linework.Forpeoplewhoneedtousethecommandlineregularlyintheirdailywork,thisbookprovidespracticaladviceforusingthecommand-lineshellbeyondmerelytypingorcopy-pastingcommandsintotheshell.Readerswilllearntechniquessuitableforautomatingprocessesandcontrollingprocesses,onbothserversandworkstations,whetherforsinglecommandlinesorlongandcomplexscripts.Thebookevenincludesinformationonconfiguringyourownshellenvironmenttosuityourworkflow,andprovidesarunningstartforinterpretingBashscriptswrittenbyothers.

·4.4萬字

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Ansible Quick Start Guide

ConfigurationManagement(CM)toolshelpadministratorsreducetheirworkload.AnsibleisoneofthebestConfigurationManagementtools,andcanactasanorchestratorformanagingotherCMs.ThisbookistheeasiestwaytolearnhowtouseAnsibleasanorchestratorandaConfigurationManagementtool.Withthisbook,youwilllearnhowtocontrolandmonitorcomputerandnetworkinfrastructuresofanysize,physicalorvirtual.YouwillbeginbylearningabouttheAnsibleclient-serverarchitecture.Togetstarted,youwillsetupandconfigureanAnsibleserver.YouwillthengothroughthemajorfeaturesofAnsible:PlaybookandInventory.Then,wewilllookatAnsiblesystemsandnetworkmodules.YouwillthenuseAnsibletoenableinfrastructureautomatedconfigurationmanagement,followedbybestpracticesforusingAnsiblerolesandcommunitymodules.Finally,youwillexploreAnsiblefeaturessuchasAnsibleVault,AnsibleContainers,andAnsibleplugins.

·3.9萬字

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Hands-On Deep Learning Architectures with Python

Deeplearningarchitecturesarecomposedofmultilevelnonlinearoperationsthatrepresenthigh-levelabstractions;thisallowsyoutolearnusefulfeaturerepresentationsfromthedata.Thisbookwillhelpyoulearnandimplementdeeplearningarchitecturestoresolvevariousdeeplearningresearchproblems.Hands-OnDeepLearningArchitectureswithPythonexplainstheessentiallearningalgorithmsusedfordeepandshallowarchitectures.Packedwithpracticalimplementationsandideastohelpyoubuildefficientartificialintelligencesystems(AI),thisbookwillhelpyoulearnhowneuralnetworksplayamajorroleinbuildingdeeparchitectures.Youwillunderstandvariousdeeplearningarchitectures(suchasAlexNet,VGGNet,GoogleNet)witheasy-to-followcodeanddiagrams.Inadditiontothis,thebookwillalsoguideyouinbuildingandtrainingvariousdeeparchitecturessuchastheBoltzmannmechanism,autoencoders,convolutionalneuralnetworks(CNNs),recurrentneuralnetworks(RNNs),naturallanguageprocessing(NLP),GAN,andmore—allwithpracticalimplementations.Bytheendofthisbook,youwillbeabletoconstructdeepmodelsusingpopularframeworksanddatasetswiththerequireddesignpatternsforeacharchitecture.Youwillbereadytoexplorethepotentialofdeeparchitecturesintoday'sworld.

·6.2萬字

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Mobile DevOps

IfyouareaprogrammeranddeveloperwhowantstoincreasetheefficiencyandscalabilityofyourmobileapplicationwiththeimplementationofDevOps,thenthisbookisforyou.Youneedbasicexperienceoftheapplicationprocessdevelopment.

·3.4萬字

會員

Chef：Powerful Infrastructure Automation

Ifyouareasystemadministrator,Linuxadministrator,aclouddeveloper,orsomeonewhojustwantstolearnandapplyChefautomationtoyourexistingornewinfrastructure,thenthislearningpathwillshowyouallyouneedtoknow.Inordertogetthemostoutofthislearningpath,someexperienceofprogrammingorscriptinglanguageswouldbeuseful.

·16.6萬字

會員

Containers in OpenStack

Thisbookistargetedtowardscloudengineers,systemadministrators,oranyonefromtheproductionteamwhoworksonOpenStackcloud.Thisbookactasanendtoendguideforanyonewhowantstostartusingtheconceptofcontainerizationonprivatecloud.SomebasicknowledgeofDockerandKuberneteswillhelp.

·2.8萬字

會員

Mastering Text Mining with R

Mastertext-tamingtechniquesandbuildeffectivetext-processingapplicationswithRAboutThisBook?Developalltherelevantskillsforbuildingtext-miningappswithRwiththiseasy-to-followguide?Gainin-depthunderstandingofthetextminingprocesswithlucidimplementationintheRlanguage?Example-richguidethatletsyougainhigh-qualityinformationfromtextdataWhoThisBookIsForIfyouareanRprogrammer,analyst,ordatascientistwhowantstogainexperienceinperformingtextdataminingandanalyticswithR,thenthisbookisforyou.Exposuretoworkingwithstatisticalmethodsandlanguageprocessingwouldbehelpful.WhatYouWillLearn?GetacquaintedwithsomeofthehighlyefficientRpackagessuchasOpenNLPandRWekatoperformvariousstepsinthetextminingprocess?AccessandmanipulatedatafromdifferentsourcessuchasJSONandHTTP?Processtextusingregularexpressions?Gettoknowthedifferentapproachesoftaggingtexts,suchasPOStagging,togetstartedwithtextanalysis?Exploredifferentdimensionalityreductiontechniques,suchasPrincipalComponentAnalysis(PCA),andunderstanditsimplementationinR?Discovertheunderlyingthemesortopicsthatarepresentinanunstructuredcollectionofdocuments,usingcommontopicmodelssuchasLatentDirichletAllocation(LDA)?Buildabaselinesentencecompletingapplication?PerformentityextractionandnamedentityrecognitionusingRInDetailTextMining(ortextdataminingortextanalytics)istheprocessofextractingusefulandhigh-qualityinformationfromtextbydevisingpatternsandtrends.Rprovidesanextensiveecosystemtominetextthroughitsmanyframeworksandpackages.Startingwithbasicinformationaboutthestatisticsconceptsusedintextmining,thisbookwillteachyouhowtoaccess,cleanse,andprocesstextusingtheRlanguageandwillequipyouwiththetoolsandtheassociatedknowledgeaboutdifferenttagging,chunking,andentailmentapproachesandtheirusageinnaturallanguageprocessing.Movingon,thisbookwillteachyoudifferentdimensionalityreductiontechniquesandtheirimplementationinR.Next,wewillcoverpatternrecognitionintextdatautilizingclassificationmechanisms,performentityrecognition,anddevelopanontologylearningframework.Bytheendofthebook,youwilldevelopapracticalapplicationfromtheconceptslearned,andwillunderstandhowtextminingcanbeleveragedtoanalyzethemassivelyavailabledataonsocialmedia.StyleandapproachThisbooktakesahands-on,example-drivenapproachtothetextminingprocesswithlucidimplementationinR.

·4.1萬字

會員

Cloud Native Development Patterns and Best Practices

Thisbookisfordeveloperswhowouldliketoprogressintobuildingcloud-nativesystemsandarekeentolearnthepatternsinvolved.Basicknowledgeofprogrammingandcloudcomputingisrequired.

·9.7萬字

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Introduction to DevOps with Kubernetes

Microsoft System Center Configuration Manager Advanced Deployment

Practical Internet of Things with JavaScript

Microsoft System Center Confi guration Manager

Mastering Kibana 6.x

PowerShell Core for Linux Administrators Cookbook

Learn Ansible

Kibana 7 Quick Start Guide

Machine Learning with R

Practical Computer Vision

Ensemble Machine Learning Cookbook

Hands-On Artificial Intelligence for IoT

Bash Quick Start Guide

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Hands-On Deep Learning Architectures with Python

Mobile DevOps

Chef：Powerful Infrastructure Automation

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Mastering Text Mining with R

Cloud Native Development Patterns and Best Practices