火树赢花怎么赚钱

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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Practical Computer Vision

ThisbookisformachinelearningpractitionersanddeeplearningenthusiastswhowanttounderstandandimplementvarioustasksassociatedwithComputerVisionandimageprocessinginthemostpracticalmannerpossible.SomeprogrammingexperiencewouldbebeneficialwhileknowingPythonwouldbeanaddedbonus.

·4.1萬字

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Practical Data Analysis

Eachchapterofthebookquicklyintroducesakey‘theme’ofDataAnalysis,beforeimmersingyouinthepracticalaspectsofeachtheme.You’lllearnquicklyhowtoperformallaspectsofDataAnalysis.PracticalDataAnalysisisabookidealforhomeandsmallbusinessuserswhowanttoslicedicethedatatheyhaveonhandwithminimumhassle.

·5.4萬字

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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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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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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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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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Deep Learning Essentials

Aspiringdatascientistsandmachinelearningexpertswhohavelimitedornoexposuretodeeplearningwillfindthisbooktobeveryuseful.Ifyouarelookingforaresourcethatgetsyouupandrunningwiththefundamentalsofdeeplearningandneuralnetworks,thisbookisforyou.AsthemodelsinthebookaretrainedusingthepopularPython-basedlibrariessuchasTensorflowandKeras,itwouldbeusefultohavesoundprogrammingknowledgeofPython.

·6萬字

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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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Healthcare Analytics Made Simple

Inrecentyears,machinelearningtechnologiesandanalyticshavebeenwidelyutilizedacrossthehealthcaresector.HealthcareAnalyticsMadeSimplebridgesthegapbetweenpractisingdoctorsanddatascientists.Itequipsthedatascientists’workwithhealthcaredataandallowsthemtogainbetterinsightfromthisdatainordertoimprovehealthcareoutcomes.Thisbookisacompleteoverviewofmachinelearningforhealthcareanalytics,brieflydescribingthecurrenthealthcarelandscape,machinelearningalgorithms,andPythonandSQLprogramminglanguages.Thestep-by-stepinstructionsteachyouhowtoobtainrealhealthcaredataandperformdescriptive,predictive,andprescriptiveanalyticsusingpopularPythonpackagessuchaspandasandscikit-learn.Thelatestresearchresultsindiseasedetectionandhealthcareimageanalysisarereviewed.Bytheendofthisbook,youwillunderstandhowtousePythonforhealthcaredataanalysis,howtoimport,collect,clean,andrefinedatafromelectronichealthrecord(EHR)surveys,andhowtomakepredictivemodelswiththisdatathroughreal-worldalgorithmsandcodeexamples.

·6.3萬字

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Hands-On Machine Learning on Google Cloud Platform

Thisbookisfordatascientists,machinelearningdevelopersandAIdeveloperswhowanttolearnGoogleCloudPlatformservicestobuildmachinelearningapplications.SincetheinteractionwiththeGoogleMLplatformismostlydoneviathecommandline,thereaderissupposedtohavesomefamiliaritywiththebashshellandPythonscripting.Someunderstandingofmachinelearninganddatascienceconceptswillbehandy.

·9.5萬字

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Drupal 7 Multi Sites Configuration

Followthecreationofamulti-siteinstancewithDrupal.ThepracticalexamplesandaccompanyingscreenshotswillhelpyoutogetmultipleDrupalsitessetupinnotime.ThisbookisforDrupalsitebuilders.ItisassumedthatreadersarefamiliarwithDrupalalready,withabasicgraspofitsconceptsandcomponents.Systemadministrationconcepts,suchasconfiguringApache,MySQL,andVagrantarecoveredbutnopreviousknowledgeofthesetoolsisrequired.

·2.5萬字

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Reinforcement Learning with TensorFlow

IfyouwanttogetstartedwithreinforcementlearningusingTensorFlowinthemostpracticalway,thisbookwillbeausefulresource.Thebookassumespriorknowledgeofmachinelearningandneuralnetworkprogrammingconcepts,aswellassomeunderstandingoftheTensorFlowframework.NopreviousexperiencewithReinforcementLearningisrequired.

·6.7萬字

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Practical AWS Networking

Thisbookistargetedtowardscloudarchitects,cloudsolutionproviders,oranystakeholdersdealingwithnetworkingonAWSCloud.ApriorideaofAmazonWebServiceswillbeanaddedadvantage.

·2萬字

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Redash v5 Quick Start Guide

DataexplorationandvisualizationisvitaltoBusinessIntelligence,thebackboneofalmosteveryenterpriseororganization.Redashisaqueryingandvisualizationtooldevelopedtosimplifyhowmarketingandbusinessdevelopmentdepartmentsareexposedtodata.IfyouwanttolearntocreateinteractivedashboardswithRedash,exploredifferentvisualizations,andsharetheinsightswithyourpeers,thenthisistheidealbookforyou.ThebookstartswithessentialBusinessIntelligenceconceptsthatareattheheartofdatavisualizations.YouwilllearnhowtofindyourwayroundRedashanditsricharrayofdatavisualizationoptionsforbuildinginteractivedashboards.Youwilllearnhowtocreatedatastorytellingandsharethesewithpeers.Youwillseehowtoconnecttodifferentdatasourcestoprocesscomplexdata,andthenvisualizethisdatatorevealvaluableinsights.Bytheendofthisbook,youwillbeconfidentwiththeRedashdashboardingtooltoprovideinsightandcommunicatedatastorytelling.

·2.9萬字

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Practical OneOps

ThisbooktargetsDevOpswhowanttouseOneOpsdailytodeploytheirapplications,andSysadminswhowillbeadministeringthoseapplications.

·4.7萬字

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Machine Learning with Scala Quick Start Guide

Scalaisahighlyscalableintegrationofobject-orientednatureandfunctionalprogrammingconceptsthatmakeiteasytobuildscalableandcomplexbigdataapplications.ThisbookisahandyguideformachinelearningdevelopersanddatascientistswhowanttodevelopandtraineffectivemachinelearningmodelsinScala.Thebookstartswithanintroductiontomachinelearning,whilecoveringdeeplearningandmachinelearningbasics.ItthenexplainshowtouseScala-basedMLlibrariestosolveclassificationandregressionproblemsusinglinearregression,generalizedlinearregression,logisticregression,supportvectormachine,andNa?veBayesalgorithms.Italsocoverstree-basedensembletechniquesforsolvingbothclassificationandregressionproblems.Movingahead,itcoversunsupervisedlearningtechniques,suchasdimensionalityreduction,clustering,andrecommendersystems.Finally,itprovidesabriefoverviewofdeeplearningusingareal-lifeexampleinScala.

·4.5萬字

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Hands-On Artificial Intelligence on Amazon Web Services

Fromdatawranglingthroughtotranslatingtext,youcanaccomplishthisandmorewiththeartificialintelligenceandmachinelearningservicesavailableonAWS.Withthisbook,you’llworkthroughhands-onexercisesandlearntousetheseservicestosolvereal-worldproblems.You’llevendesign,develop,monitor,andmaintainmachineanddeeplearningmodelsonAWS.ThebookstartswithanintroductiontoAIanditsapplicationsindifferentindustries,alongwithanoverviewofAWSartificialintelligenceandmachinelearningservices.You’llthengettogripswithdetectingandtranslatingtextwithAmazonRekognitionandAmazonTranslate.Thebookwillassistyouinperformingspeech-to-textwithAmazonTranscribeandAmazonPolly.Later,you’lldiscovertheuseofAmazonComprehendforextractinginformationfromtext,andAmazonLexforbuildingvoicechatbots.YouwillalsounderstandthekeycapabilitiesofAmazonSageMakersuchaswranglingbigdata,discoveringtopicsintextcollections,andclassifyingimages.Finally,you’llcoversalesforecastingwithdeeplearningandautoregression,beforeexploringtheimportanceofafeedbackloopinmachinelearning.Bytheendofthisbook,youwillhavetheskillsyouneedtoimplementAIinAWSthroughhands-onexercisesthatcoverallaspectsoftheMLmodellifecycle.

·8.2萬字

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Hands-On Reactive Programming with Reactor

ReactorisanimplementationoftheJava9ReactiveStreamsspecification,anAPIforasynchronousdataprocessing.Thisspecificationisbasedonareactiveprogrammingparadigm,enablingdeveloperstobuildenterprise-grade,robustapplicationswithreducedcomplexityandinlesstime.Hands-OnReactiveProgrammingwithReactorshowsyouhowReactorworks,aswellashowtouseittodevelopreactiveapplicationsinJava.ThebookbeginswiththefundamentalsofReactorandtheroleitplaysinbuildingeffectiveapplications.Youwilllearnhowtobuildfullynon-blockingapplicationsandwilllaterbeguidedbythePublisherandSubscriberAPIs.YouwillgainanunderstandinghowtousetworeactivecomposableAPIs,FluxandMono,whichareusedextensivelytoimplementReactiveExtensions.Allofthesecomponentsarecombinedusingvariousoperationstobuildacompletesolution.Inadditiontothis,youwillgettogripswiththeFlowAPIandunderstandbackpressureinordertocontroloverruns.YouwillalsostudytheuseofSpringWebFlux,anextensionoftheReactorframeworkforbuildingmicroservices.Bytheendofthebook,youwillhavegainedenoughconfidencetobuildreactiveandscalablemicroservices.

·4萬字

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