捕鱼机抽水五千是什么意思

Kerashasquicklyemergedasapopulardeeplearninglibrary.WritteninPython,itallowsyoutotrainconvolutionalaswellasrecurrentneuralnetworkswithspeedandaccuracy.TheKerasDeepLearningCookbookshowsyouhowtotackledifferentproblemsencounteredwhiletrainingefficientdeeplearningmodels,withthehelpofthepopularKeraslibrary.StartingwithinstallingandsettingupKeras,thebookdemonstrateshowyoucanperformdeeplearningwithKerasintheTensorFlow.Fromloadingdatatofittingandevaluatingyourmodelforoptimalperformance,youwillworkthroughastep-by-stepprocesstotackleeverypossibleproblemfacedwhiletrainingdeepmodels.Youwillimplementconvolutionalandrecurrentneuralnetworks,adversarialnetworks,andmorewiththehelpofthishandyguide.Inadditiontothis,youwilllearnhowtotrainthesemodelsforreal-worldimageandlanguageprocessingtasks.Bytheendofthisbook,youwillhaveapractical,hands-onunderstandingofhowyoucanleveragethepowerofPythonandKerastoperformeffectivedeeplearning

·3.8萬字

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Hands-On Data Science with SQL Server 2017

SQLServerisarelationaldatabasemanagementsystemthatenablesyoutocoverend-to-enddatascienceprocessesusingvariousinbuiltservicesandfeatures.Hands-OnDataSciencewithSQLServer2017startswithanoverviewofdatasciencewithSQLtounderstandthecoretasksindatascience.Youwilllearnintermediate-to-advancedlevelconceptstoperformanalyticaltasksondatausingSQLServer.Thebookhasauniqueapproach,coveringbestpractices,tasks,andchallengestotestyourabilitiesattheendofeachchapter.Youwillexploretheinsandoutsofperformingvariouskeytaskssuchasdatacollection,cleaning,manipulation,aggregations,andfilteringtechniques.Asyoumakeyourwaythroughthechapters,youwillturnrawdataintoactionableinsightsbywranglingandextractingdatafromdatabasesusingT-SQL.Youwillgettogripswithpreparingandpresentingdatainameaningfulway,usingPowerBItorevealhiddenpatterns.Intheconcludingchapters,youwillworkwithSQLServerintegrationservicestotransformdataintoausefulformatanddelveintoadvancedexamplescoveringmachinelearningconceptssuchaspredictiveanalyticsusingreal-worldexamples.Bytheendofthisbook,youwillbeinapositiontohandlethegrowingamountsofdataandperformeverydayactivitiesthatadatascienceprofessionalperforms.

·10.8萬字

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Docker Quick Start Guide

Dockerisanopensourcesoftwareplatformthathelpsyouwithcreating,deploying,andrunningyourapplicationsusingcontainers.ThisbookisyouridealintroductiontoDockerandcontainerization.YouwilllearnhowtosetupaDockerdevelopmentenvironmentonaLinux,Mac,orWindowsworkstation,andlearnyourwayaroundallthecommandstorunandmanageyourDockerimagesandcontainers.YouwillexploretheDockerfileandlearnhowtobuildyourownenterprise-gradeDockerimages.ThenyouwilllearnaboutDockernetworks,Dockerswarm,andDockervolumes,andhowtousethesefeatureswithDockerstacksinordertodefine,deploy,andmaintainhighly-scalable,fault-tolerantmulti-containerapplications.Finally,youwilllearnhowtoleverageDockerwithJenkinstoautomatethebuildingofDockerimagesandthedeploymentofDockercontainers.Bytheendofthisbook,youwillbewellpreparedwhenitcomestousingDockerforyournextproject.

·5.3萬字

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Splunk 7.x Quick Start Guide

Splunkisaleadingplatformandsolutionforcollecting,searching,andextractingvaluefromeverincreasingamountsofbigdata-andbigdataiseatingtheworld!ThisbookcoversallthecrucialSplunktopicsandgivesyoutheinformationandexamplestogettheimmediatejobdone.YouwillfindenoughinsightstosupportfurtherresearchanduseSplunktosuitanybusinessenvironmentorsituation.Splunk7.xQuickStartGuidegivesyouathoroughunderstandingofhowSplunkworks.Youwilllearnaboutallthecriticaltasksforarchitecting,implementing,administering,andutilizingSplunkEnterprisetocollect,store,retrieve,format,analyze,andvisualizemachinedata.Youwillfindstep-by-stepexamplesbasedonreal-worldexperienceandpracticalusecasesthatareapplicabletoallSplunkenvironments.Thereisacarefulbalancebetweenadequatecoverageofallthecriticaltopicswithshortbutrelevantdeep-divesintotheconfigurationoptionsandstepstocarryouttheday-to-daytasksthatmatter.Bytheendofthebook,youwillbeaconfidentandproficientSplunkarchitectandadministrator.

·7.1萬字

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Azure Serverless Computing Cookbook

MicrosoftprovidesasolutionforeasilyrunningsmallsegmentsofcodeinthecloudwithAzureFunctions.ThesecondeditionofAzureServerlessComputingCookbookstartswithintermediate-levelrecipesonserverlesscomputingalongwithsomeusecasesdemonstratingthebenefitsandkeyfeaturesofAzureFunctions.You’llexplorethecoreaspectsofAzureFunctions,suchastheservicesitprovides,howyoucandevelopandwriteAzureFunctions,andhowtomonitorandtroubleshootthem.Asyoumakeyourwaythroughthechapters,you’llgetpracticalrecipesonintegratingDevOpswithAzureFunctions,andprovidingcontinuousintegrationandcontinuousdeploymentwithAzureDevOps.Thisbookalsoprovideshands-on,step-by-steptutorialsbasedonreal-worldserverlessusecasestoguideyouthroughconfiguringandsettingupyourserverlessenvironmentswithease.Youwillalsolearnhowtobuildsolutionsforcomplex,real-world,workflow-basedscenariosquicklyandwithminimalcodeusingDurableFunctions.Intheconcludingchapters,youwillensureenterprise-levelsecuritywithinyourserverlessenvironment.ThemostcommontipsandtricksthatyouneedtobeawareofwhenworkingwithAzureFunctionsonproductionenvironmentswillalsobecoveredinthisbook.Bytheendofthisbook,youwillhavealltheskillsrequiredforworkingwithserverlesscodearchitecture,providingcontinuousdeliverytoyourusers.

·5.1萬字

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Mastering Windows Group Policy

ThisbookbeginswithadiscussionofthecorematerialanyadministratorneedstoknowinordertostartworkingwithGroupPolicy.Movingon,wewillalsowalkthroughtheprocessofbuildingalabenvironmenttostarttestingGroupPolicytoday.NextwewillexploretheGroupPolicyManagementConsole(GPMC)andstartusingthepowerfulfeaturesavailableforuswithinthatinterface.OnceyouarewellversedwithusingGPMC,youwilllearntoperformandmanagethetraditionalcoretasksinsideGroupPolicy.Includedinthebookaremanyexamplesandwalk-throughsofthedifferentfilteringoptionsavailablefortheapplicationofGroupPolicysettings,asthisistherealpowerthatGroupPolicyholdswithinyournetwork.YouwillalsolearnhowyoucanuseGroupPolicytosecureyourActiveDirectoryenvironment,andalsounderstandhowGroupPolicypreferencesaredifferentthanpolicies,withthehelpofreal-worldexamples.FinallywewillspendsometimeonmaintenanceandtroubleshootingcommonGroupPolicy-relatedissuessothatyou,asadirectoryadministrator,willunderstandthediagnosingprocessforpolicysettings.Bytheendofthebook,youwillbeabletojumprightinanduseGroupPolicytoitsfullpotential.

·8.7萬字

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Apache Superset Quick Start Guide

ApacheSupersetisamodern,opensource,enterprise-readybusinessintelligence(BI)webapplication.Withthehelpofthisbook,youwillseehowSupersetintegrateswithpopulardatabaseslikePostgres,GoogleBigQuery,Snowflake,andMySQL.YouwilllearntocreaterealtimedatavisualizationsanddashboardsonmodernwebbrowsersforyourorganizationusingSuperset.First,welookatthefundamentalsofSuperset,andthengetitupandrunning.You'llgothroughtherequisiteinstallation,configuration,anddeployment.Then,wewilldiscussdifferentcolumnardatatypes,analytics,andthevisualizationsavailable.You'llalsoseethesecuritytoolsavailabletotheadministratortokeepyourdatasafe.Youwilllearnhowtovisualizerelationshipsasgraphsinsteadofcoordinatesonplainorthogonalaxes.Thiswillhelpyouwhenyouuploadyourownentityrelationshipdatasetandanalyzethedatasetinnew,differentways.Youwillalsoseehowtoanalyzegeographicalregionsbyworkingwithlocationdata.Finally,wecoverasetoftutorialsondashboarddesignsfrequentlyusedbyanalysts,businessintelligenceprofessionals,anddevelopers.

·2.2萬字

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Microsoft Power BI Complete Reference

MicrosoftPowerBICompleteReferenceGuidegetsyoustartedwithbusinessintelligencebyshowingyouhowtoinstallthePowerBItoolset,designeffectivedatamodels,andbuildbasicdashboardsandvisualizationsthatmakeyourdatacometolife.InthisLearningPath,youwilllearntocreatepowerfulinteractivereportsbyvisualizingyourdataandlearnvisualizationstyles,tipsandtrickstobringyourdatatolife.Youwillbeabletoadministeryourorganization'sPowerBIenvironmenttocreateandsharedashboards.Youwillalsobeabletostreamlinedeploymentbyimplementingsecurityandregulardatarefreshes.Next,youwilldelvedeeperintothenuancesofPowerBIandhandlingprojects.YouwillgetacquaintedwithplanningaPowerBIproject,development,anddistributionofcontent,anddeployment.Youwilllearntoconnectandextractdatafromvarioussourcestocreaterobustdatasets,reports,anddashboards.Additionally,youwilllearnhowtoformatreportsandapplycustomvisuals,animationandanalyticstofurtherrefineyourdata.BytheendofthisLearningPath,youwilllearntoimplementthevariousPowerBItoolssuchason-premisesgatewaytogetheralongwithstagingandsecurelydistributingcontentviaapps.ThisLearningPathincludescontentfromthefollowingPacktproducts:MicrosoftPowerBIQuickStartGuidebyDevinKnightetal.MasteringMicrosoftPowerBIbyBrettPowell.

·17.8萬字

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Machine Learning with Apache Spark Quick Start Guide

Everypersonandeveryorganizationintheworldmanagesdata,whethertheyrealizeitornot.Dataisusedtodescribetheworldaroundusandcanbeusedforalmostanypurpose,fromanalyzingconsumerhabitstofightingdiseaseandseriousorganizedcrime.Ultimately,wemanagedatainordertoderivevaluefromit,andmanyorganizationsaroundtheworldhavetraditionallyinvestedintechnologytohelpprocesstheirdatafasterandmoreefficiently.Butwenowliveinaninterconnectedworlddrivenbymassdatacreationandconsumptionwheredataisnolongerrowsandcolumnsrestrictedtoaspreadsheet,butanorganicandevolvingassetinitsownright.Withthisrealizationcomesmajorchallengesfororganizations:howdowemanagethesheersizeofdatabeingcreatedeverysecond(thinknotonlyspreadsheetsanddatabases,butalsosocialmediaposts,images,videos,music,blogsandsoon)?Andoncewecanmanageallofthisdata,howdowederiverealvaluefromit?ThefocusofMachineLearningwithApacheSparkistohelpusanswerthesequestionsinahands-onmanner.Weintroducethelatestscalabletechnologiestohelpusmanageandprocessbigdata.Wethenintroduceadvancedanalyticalalgorithmsappliedtoreal-worldusecasesinordertouncoverpatterns,deriveactionableinsights,andlearnfromthisbigdata.

·5.2萬字

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Bayesian Analysis with Python

ThesecondeditionofBayesianAnalysiswithPythonisanintroductiontothemainconceptsofappliedBayesianinferenceanditspracticalimplementationinPythonusingPyMC3,astate-of-the-artprobabilisticprogramminglibrary,andArviZ,anewlibraryforexploratoryanalysisofBayesianmodels.ThemainconceptsofBayesianstatisticsarecoveredusingapracticalandcomputationalapproach.Syntheticandrealdatasetsareusedtointroduceseveraltypesofmodels,suchasgeneralizedlinearmodelsforregressionandclassification,mixturemodels,hierarchicalmodels,andGaussianprocesses,amongothers.Bytheendofthebook,youwillhaveaworkingknowledgeofprobabilisticmodelingandyouwillbeabletodesignandimplementBayesianmodelsforyourowndatascienceproblems.Afterreadingthebookyouwillbebetterpreparedtodelveintomoreadvancedmaterialorspecializedstatisticalmodelingifyouneedto.

·8.6萬字

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Hands-On Predictive Analytics with Python

Predictiveanalyticsisanappliedfieldthatemploysavarietyofquantitativemethodsusingdatatomakepredictions.Itinvolvesmuchmorethanjustthrowingdataontoacomputertobuildamodel.Thisbookprovidespracticalcoveragetohelpyouunderstandthemostimportantconceptsofpredictiveanalytics.Usingpractical,step-by-stepexamples,webuildpredictiveanalyticssolutionswhileusingcutting-edgePythontoolsandpackages.Thebook'sstep-by-stepapproachstartsbydefiningtheproblemandmovesontoidentifyingrelevantdata.Wewillalsobeperformingdatapreparation,exploringandvisualizingrelationships,buildingmodels,tuning,evaluating,anddeployingmodel.EachstagehasrelevantpracticalexamplesandefficientPythoncode.YouwillworkwithmodelssuchasKNN,RandomForests,andneuralnetworksusingthemostimportantlibrariesinPython'sdatasciencestack:NumPy,Pandas,Matplotlib,Seaborn,Keras,Dash,andsoon.Inadditiontohands-oncodeexamples,youwillfindintuitiveexplanationsoftheinnerworkingsofthemaintechniquesandalgorithmsusedinpredictiveanalytics.Bytheendofthisbook,youwillbeallsettobuildhigh-performancepredictiveanalyticssolutionsusingPythonprogramming.

·7.1萬字

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Practical Network Automation

NetworkautomationistheuseofITcontrolstosuperviseandcarryouteverydaynetworkmanagementfunctions.Itplaysakeyroleinnetworkvirtualizationtechnologiesandnetworkfunctions.Thebookstartsbyprovidinganintroductiontonetworkautomation,anditsapplications,whichincludeintegratingDevOpstoolstoautomatethenetworkefficiently.Itthenguidesyouthroughdifferentnetworkautomationtasksandcoversvariousdatadiggingandperformingtaskssuchasensuringgoldenstateconfigurationsusingtemplates,interfaceparsing.ThisbookalsofocusesonIntelligentOperationsusingArtificialIntelligenceandtroubleshootingusingchatbotsandvoicecommands.ThebookthenmovesontotheuseofPythonandthemanagementofSSHkeysformachine-to-machine(M2M)communication,allfollowedbypracticalusecases.ThebookalsocoverstheimportanceofAnsiblefornetworkautomation,includingbestpracticesinautomation;waystotestautomatednetworksusingtoolssuchasPuppet,SaltStack,andChef;andotherimportanttechniques.Throughpracticaluse-casesandexamples,thisbookwillacquaintyouwiththevariousaspectsofnetworkautomation.Itwillgiveyouthesolidfoundationyouneedtoautomateyourownnetworkwithoutanyhassle.

·3.5萬字

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Blockchain Quick Start Guide

Blockchainisatechnologythatpowersthedevelopmentofdecentralizedapplications.Thistechnologyallowstheconstructionofanetworkwithnosinglecontrolthatenablesparticipantstomakecontributionstoandreceivebenefitsfromthenetworkdirectly.Thisbookwillgiveyouathoroughoverviewofblockchainandexplainhowablockchainworks.Youwillbeginbygoingthroughvariousblockchainconsensusmechanismsandcryptographichashfunctions.YouwillthenlearnthefundamentalsofprogramminginSolidity–thedefactolanguagefordevelopingdecentralize,applicationsinEthereum.Afterthat,youwillsetupanEthereumdevelopmentenvironmentanddevelop,package,build,andtestcampaign-decentralizedapplications.ThebookalsoshowsyouhowtosetupHyperledgercomposertools,analyzebusinessscenarios,designbusinessmodels,andwriteachaincode.Finally,youwillgetaglimpseofhowblockchainisactuallyusedindifferentreal-worlddomains.Bytheendofthisguide,youwillbecomfortableworkingwithbasicblockchainframeworks,anddevelopsecure,decentralizedapplicationsinahassle-freemanner.

·4.2萬字

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Linux Administration Cookbook

Linuxisoneofthemostwidelyusedoperatingsystemsamongsystemadministrators,andevenmodernapplicationandserverdevelopmentisheavilyreliantontheLinuxplatform.TheLinuxAdministrationCookbookisyourgo-toguidetogetstartedonyourLinuxjourney.Itwillhelpyouunderstandwhatthatstrangelittleserverisdoinginthecornerofyouroffice,whatthemysteriousvirtualmachinelanguishinginAzureiscrunchingthrough,whatthatcircuit-board-likethingisdoingunderyourofficeTV,andwhytheLEDsonitareblinkingrapidly.ThisbookwillgetyoustartedwithadministeringLinux,givingyoutheknowledgeandtoolsyouneedtotroubleshootday-to-dayproblems,rangingfromaRaspberryPitoaserverinAzure,whilegivingyouagoodunderstandingofthefundamentalsofhowGNU/Linuxworks.Throughthecourseofthebook,you’llinstallandconfigureasystem,whiletheauthorregalesyouwitherrorsandanecdotesfromhisvastexperienceasadatacenterhardwareengineer,systemsadministrator,andDevOpsconsultant.Bytheendofthebook,youwillhavegainedpracticalknowledgeofLinux,whichwillserveasabedrockforlearningLinuxadministrationandaidyouinyourLinuxjourney.

·16.7萬字

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Keras 2.x Projects

Keras2.xProjectsexplainshowtoleveragethepowerofKerastobuildandtrainstate-of-the-artdeeplearningmodelsthroughaseriesofpracticalprojectsthatlookatarangeofreal-worldapplicationareas.Tobeginwith,youwillquicklysetupadeeplearningenvironmentbyinstallingtheKeraslibrary.Througheachoftheprojects,youwillexploreandlearntheadvancedconceptsofdeeplearningandwilllearnhowtocomputeandrunyourdeeplearningmodelsusingtheadvancedofferingsofKeras.Youwilltrainfully-connectedmultilayernetworks,convolutionalneuralnetworks,recurrentneuralnetworks,autoencodersandgenerativeadversarialnetworksusingreal-worldtrainingdatasets.Theprojectsyouwillundertakeareallbasedonreal-worldscenariosofallcomplexitylevels,coveringtopicssuchaslanguagerecognition,stockvolatility,energyconsumptionprediction,fasterobjectclassificationforself-drivingvehicles,andmore.Bytheendofthisbook,youwillbewellversedwithdeeplearninganditsimplementationwithKeras.Youwillhavealltheknowledgeyouneedtotrainyourowndeeplearningmodelstosolvedifferentkindsofproblems.

·9.6萬字

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R Machine Learning Projects

Risoneofthemostpopularlanguageswhenitcomestoperformingcomputationalstatistics(statisticalcomputing)easilyandexploringthemathematicalsideofmachinelearning.Withthisbook,youwillleveragetheRecosystemtobuildefficientmachinelearningapplicationsthatcarryoutintelligenttaskswithinyourorganization.Thisbookwillhelpyoutestyourknowledgeandskills,guidingyouonhowtobuildeasilythroughtocomplexmachinelearningprojects.Youwillfirstlearnhowtobuildpowerfulmachinelearningmodelswithensemblestopredictemployeeattrition.Next,you’llimplementajokerecommendationengineandlearnhowtoperformsentimentanalysisonAmazonreviews.You’llalsoexploredifferentclusteringtechniquestosegmentcustomersusingwholesaledata.Inadditiontothis,thebookwillgetyouacquaintedwithcreditcardfrauddetectionusingautoencoders,andreinforcementlearningtomakepredictionsandwinonacasinoslotmachine.Bytheendofthebook,youwillbeequippedtoconfidentlyperformcomplextaskstobuildresearchandcommercialprojectsforautomatedoperations.

·7.1萬字

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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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Machine Learning Quick Reference

Machinelearningmakesitpossibletolearnabouttheunknownsandgainhiddeninsightsintoyourdatasetsbymasteringmanytoolsandtechniques.Thisbookguidesyoutodojustthatinaverycompactmanner.Aftergivingaquickoverviewofwhatmachinelearningisallabout,MachineLearningQuickReferencejumpsrightintoitscorealgorithmsanddemonstrateshowtheycanbeappliedtoreal-worldscenarios.Frommodelevaluationtooptimizingtheirperformance,thisbookwillintroduceyoutothebestpracticesinmachinelearning.Furthermore,youwillalsolookatthemoreadvancedaspectssuchastrainingneuralnetworksandworkwithdifferentkindsofdata,suchastext,time-series,andsequentialdata.Advancedmethodsandtechniquessuchascausalinference,deepGaussianprocesses,andmorearealsocovered.Bytheendofthisbook,youwillbeabletotrainfast,accuratemachinelearningmodelsatyourfingertips,whichyoucaneasilyuseasapointofreference.

·4.7萬字

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Implementing AWS：Design，Build，and Manage your Infrastructure

WiththisLearningPath,you’llexploretechniquestoeasilymanageapplicationsontheAWScloud.You’llbeginwithanintroductiontoserverlesscomputing,itsadvantages,andthefundamentalsofAWS.Thefollowingchapterswillguideyouonhowtomanagemultipleaccountsbysettingupconsolidatedbilling,enhancingyourapplicationdeliveryskills,withthelatestAWSservicessuchasCodeCommit,CodeDeploy,andCodePipelinetoprovidecontinuousdeliveryanddeployment,whilealsosecuringandmonitoringyourenvironment'sworkflow.It’llalsoaddtoyourunderstandingoftheservicesAWSLambdaprovidestodevelopers.Torefineyourskillsfurther,itdemonstrateshowtodesign,write,test,monitor,andtroubleshootLambdafunctions.BytheendofthisLearningPath,you’llbeabletocreateahighlysecure,fault-tolerant,andscalableenvironmentforyourapplications.ThisLearningPathincludescontentfromthefollowingPacktproducts:AWSAdministration:TheDefinitiveGuide,SecondEditionbyYohanWadia.AWSAdministrationCookbookbyRowanUdell,LucasChan.MasteringAWSLambdabyYohanWadia,UditaGupta.

·12.8萬字

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Azure for Architects

Overtheyears,Azurecloudserviceshavegrownquickly,andthenumberoforganizationsadoptingAzurefortheircloudservicesisalsograduallyincreasing.LeadingindustrygiantsarefindingthatAzurefulfillstheirextensivecloudrequirements.AzureforArchitects–SecondEditionstartswithanextensiveintroductiontomajordesigningandarchitecturalaspectsavailablewithAzure.Thesedesignpatternsfocusondifferentaspectsofthecloud,suchashighavailability,security,andscalability.Gradually,wemoveontootheraspects,suchasARMtemplatemodulardesignanddeployments.Thisistheageofmicroservicesandserverlessisthepreferredimplementationmechanismforthem.ThisbookcoverstheentireserverlessstackavailableinAzureincludingAzureEventGrid,AzureFunctions,andAzureLogicApps.Newandadvancefeatureslikedurablefunctionsarediscussedatlength.Acompleteintegrationsolutionusingtheseserverlesstechnologiesisalsopartofthebook.AcompletechapterdiscussesallpossibleoptionsrelatedtocontainersinAzureincludingAzureKubernetesservices,AzureContainerInstancesandRegistry,andWebAppforContainers.DatamanagementandintegrationisanintegralpartofthisbookthatdiscussesoptionsforimplementingOLTPsolutionsusingAzureSQL,BigDatasolutionsusingAzureDatafactoryandDataLakeStorage,eventingsolutionsusingstreamanalytics,andEventHubs.ThisbookwillprovideinsightsintoAzuregovernancefeaturessuchastagging,RBAC,costmanagement,andpolicies.Bytheendofthisbook,youwillbeabletodevelopafull-?edgedAzurecloudsolutionthatisEnterpriseclassandfuture-ready.

·8.6萬字

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Keras Deep Learning Cookbook

Hands-On Data Science with SQL Server 2017

Docker Quick Start Guide

Splunk 7.x Quick Start Guide

Azure Serverless Computing Cookbook

Mastering Windows Group Policy

Apache Superset Quick Start Guide

Microsoft Power BI Complete Reference

Machine Learning with Apache Spark Quick Start Guide

Bayesian Analysis with Python

Hands-On Predictive Analytics with Python

Practical Network Automation

Blockchain Quick Start Guide

Linux Administration Cookbook

Keras 2.x Projects

R Machine Learning Projects

Hands-On Artificial Intelligence for IoT

Machine Learning Quick Reference

Implementing AWS：Design，Build，and Manage your Infrastructure

Azure for Architects