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PostgreSQL 11 Administration Cookbook
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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.

Simon Riggs Gianni Ciolli Sudheer Kumar Meesala ·自動化 ·14.4萬字

Docker High Performance（Second Edition）
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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.

Allan Espinosa Russ McKendrick ·自動化 ·3.2萬字

Supervised Machine Learning with Python
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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.

Taylor Smith ·自動化 ·3.7萬字

Hands-On Microservices with Kubernetes
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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.

Gigi Sayfan ·自動化 ·10.5萬字

PyTorch 1.x Reinforcement Learning Cookbook
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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.

Yuxi (Hayden) Liu ·自動化 ·6.6萬字

Hands-On Data Analysis with NumPy and pandas
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Hands-On Data Analysis with NumPy and pandas

Hands-OnDataAnalysiswithNumPyandPandasisforyouifyouareaPythondeveloperandwanttotakeyourfirststepsintotheworldofdataanalysis.Nopreviousexperienceofdataanalysisisrequiredtoenjoythisbook.

Curtis Miller ·自動化 ·2.2萬字

Godot Engine Game Development Projects
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Godot Engine Game Development Projects

GodotEngineGameDevelopmentProjectsisforbothnewusersandexperienceddevelopers,whowanttolearntomakegamesusingamoderngameengine.Somepriorprogrammingexperienceisrecommended.

Chris Bradfield ·自動化 ·5.8萬字

Mastering Kubernetes
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Mastering Kubernetes

ThethirdeditionofMasteringKubernetesisupdatedwiththelatesttoolsandcodeenablingyoutolearnKubernetes1.18’slatestfeatures.ThisbookprimarilyconcentratesondivingdeeplyintocomplexconceptsandKubernetesbestpracticestohelpyoumastertheskillsofdesigninganddeployinglargeclustersonvariouscloudplatforms.ThebooktrainsyoutoruncomplexstatefulmicroservicesonKubernetesincludingadvancedfeaturessuchashorizontalpodautoscaling,rollingupdates,resourcequotas,andpersistentstoragebackend.Withthetwonewchapters,youwillgainexpertiseinserverlesscomputingandutilizingservicemeshes.Asyouproceedthroughthechapters,youwillexploredifferentoptionsfornetworkconfigurationandlearntosetup,operate,andtroubleshootKubernetesnetworkingpluginsthroughreal-worldusecases.Furthermore,youwillunderstandthemechanismsofcustomresourcedevelopmentanditsutilizationinautomationandmaintenanceworkflows.BytheendofthisKubernetesbook,youwillgraduatefromanintermediatetoadvancedKubernetesprofessional.

Gigi Sayfan ·自動化 ·13.2萬字

Building Analytics Teams
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Building Analytics Teams

InBuildingAnalyticsTeams,JohnK.Thompson,withhis30+yearsofexperienceandexpertise,illustratesthefundamentalconceptsofbuildingandmanagingahigh-performanceanalyticsteam,includingwhattodo,whotohire,projectstoundertake,andwhattoavoidinthejourneyofbuildingananalyticallysoundteam.Thecoreprocessesincreatinganeffectiveanalyticsteamandtheimportanceofthebusinessdecision-makinglifecycleareexploredtohelpachieveinitialandsustainablesuccess.Thebookdemonstratesthevarioustraitsofasuccessfulandhigh-performinganalyticsteamandthendelineatesthepathtoachievethiswithinsightsonthemindset,advancedanalyticsmodels,andpredictionsbasedondataanalytics.Italsoemphasizesthesignificanceofthemacroandmicroprocessesrequiredtoevolveinresponsetorapidlychangingbusinessneeds.Thebookdivesintothemethodsandpracticesofmanaging,developing,andleadingananalyticsteam.Onceyou'vebroughttheteamuptospeed,thebookexplainshowtogovernexecutiveexpectationsandselectwinningprojects.Bytheendofthisbook,youwillhaveacquiredtheknowledgetocreateaneffectivebusinessanalyticsteamanddevelopaproductionenvironmentthatdeliversongoingoperationalimprovementsforyourorganization.

John K. Thompson Douglas B. Laney ·自動化 ·10.5萬字

Hands-On Python Natural Language Processing
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Hands-On Python Natural Language Processing

NaturalLanguageProcessing(NLP)isthesubfieldincomputationallinguisticsthatenablescomputerstounderstand,process,andanalyzetext.Thisbookcaterstotheunmetdemandforhands-ontrainingofNLPconceptsandprovidesexposuretoreal-worldapplicationsalongwithasolidtheoreticalgrounding.ThisbookstartsbyintroducingyoutothefieldofNLPanditsapplications,alongwiththemodernPythonlibrariesthatyou'llusetobuildyourNLP-poweredapps.Withthehelpofpracticalexamples,you’lllearnhowtobuildreasonablysophisticatedNLPapplications,andcovervariousmethodologiesandchallengesindeployingNLPapplicationsintherealworld.You'llcoverkeyNLPtaskssuchastextclassification,semanticembedding,sentimentanalysis,machinetranslation,anddevelopingachatbotusingmachinelearninganddeeplearningtechniques.Thebookwillalsohelpyoudiscoverhowmachinelearningtechniquesplayavitalroleinmakingyourlinguisticappssmart.Everychapterisaccompaniedbyexamplesofreal-worldapplicationstohelpyoubuildimpressiveNLPapplicationsofyourown.BytheendofthisNLPbook,you’llbeabletoworkwithlanguagedata,usemachinelearningtoidentifypatternsintext,andgetacquaintedwiththeadvancementsinNLP.

Aman Kedia Mayank Rasu ·自動化 ·6.7萬字

CentOS 8 Essentials
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CentOS 8 Essentials

Linuxkerneldevelopmentisperhapstheworld'slargestcollaborativeprojecttodate.WithCentOS8Essentials,you’llbegiveneasilyaccessibleinformationtoinstall,use,andadministertheCentOS8distribution.ThebookbeginswithaconcisehistoryoftheLinuxoperatingsystemandCentOS.You’llthenlearnhowtoinstallCentOS8usingthedualbootconfigurationsothatitcancoexistwithWindowsonthesamedrive.AfterinstallingCentOS,you’lllearnGNOME3—thedesktopenvironmentincludedwithCentOS8thathelpsyounavigatethroughthedistribution.Asyouprogress,you’llexploretheCockpitwebinterfacethatenablesyoutoperformtasksviaawebbrowserinsteadofusingthecommand-line.You’llthentakeabrieftouroftheBashshellenvironmentandlearnwaystoadministerasystemthatdoesn’thaveadesktoporaCockpitinterface.Whilelearningadvancedconcepts,you’llseehowtomanageswapspaceefficientlyandcontroltheperformanceofCentOS8.Bytheendofthebook,you’llhavealltheessentialinformationyouneedtocomfortablystartusingtheCentOS8distribution.

Neil Smyth ·自動化 ·6.4萬字

Practical Site Reliability Engineering
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Practical Site Reliability Engineering

Sitereliabilityengineering(SRE)isbeingtoutedasthemostcompetentparadigminestablishingandensuringnext-generationhigh-qualitysoftwaresolutions.ThisbookstartsbyintroducingyoutotheSREparadigmandcoverstheneedforhighlyreliableITplatformsandinfrastructures.Asyoumakeyourwaythroughthenextsetofchapters,youwilllearntodevelopmicroservicesusingSpringBootandmakeuseofRESTfulframeworks.YouwillalsolearnaboutGitHubfordeployment,containerization,andDockercontainers.PracticalSiteReliabilityEngineeringteachesyoutosetupandsustaincontainerizedcloudenvironments,andalsocoversarchitecturalanddesignpatternsandreliabilityimplementationtechniquessuchasreactiveprogramming,andlanguagessuchasBallerinaandRust.Intheconcludingchapters,youwillgetwell-versedwithservicemeshsolutionssuchasIstioandLinkerd,andunderstandserviceresiliencetestpractices,APIgateways,andedge/fogcomputing.Bytheendofthisbook,youwillhavegainedexperienceonworkingwithSREconceptsandbeabletodeliverhighlyreliableappsandservices.

Pethuru Raj Chelliah Shreyash Naithani Shailender Singh ·自動化 ·8.6萬字

Julia 1.0 Programming Cookbook
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Julia 1.0 Programming Cookbook

Julia,withitsdynamicnatureandhigh-performance,providescomparativelyminimaltimeforthedevelopmentofcomputationalmodelswitheasy-to-maintaincomputationalcode.Thisbookwillbeyoursolution-basedguideasitwilltakeyouthroughdifferentprogrammingaspectswithJulia.StartingwiththenewfeaturesofJulia1.0,eachrecipeaddressesaspecificproblem,providingasolutionandexplaininghowitworks.YouwillworkwiththepowerfulJuliatoolsanddatastructuresalongwiththemostpopularJuliapackages.Youwilllearntocreatevectors,handlevariables,andworkwithfunctions.Youwillbeintroducedtovariousrecipesfornumericalcomputing,distributedcomputing,andachievinghighperformance.Youwillseehowtooptimizedatascienceprogramswithparallelcomputingandmemoryallocation.Wewilllookintomoreadvancedconceptssuchasmetaprogrammingandfunctionalprogramming.Finally,youwilllearnhowtotackleissueswhileworkingwithdatabasesanddataprocessing,andwilllearnaboutondatascienceproblems,datamodeling,dataanalysis,datamanipulation,parallelprocessing,andcloudcomputingwithJulia.Bytheendofthebook,youwillhaveacquiredtheskillstoworkmoreeffectivelywithyourdata

Bogumi? Kamiński Przemys?aw Szufel ·自動化 ·9.1萬字

Apache Ignite Quick Start Guide
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Apache Ignite Quick Start Guide

ApacheIgniteisadistributedin-memoryplatformdesignedtoscaleandprocesslargevolumeofdata.Itcanbeintegratedwithmicroservicesaswellasmonolithicsystems,andcanbeusedasascalable,highlyavailableandperformantdeploymentplatformformicroservices.ThisbookwillteachyoutouseApacheIgniteforbuildingahigh-performance,scalable,highlyavailablesystemarchitecturewithdataintegrity.ThebooktakesyouthroughthebasicsofApacheIgniteandin-memorytechnologies.YouwilllearnaboutinstallationandclusteringIgnitenodes,cachingtopologies,andvariouscachingstrategies,suchascacheaside,readandwritethrough,andwritebehind.Next,youwilldelveintodetailedaspectsofIgnite’sdatagrid:websessionclusteringandqueryingdata.YouwilllearnhowtoprocesslargevolumesofdatausingcomputegridandIgnite’smap-reduceandexecutorservice.YouwilllearnaboutthememoryarchitectureofApacheIgniteandmonitoringmemoryandcaches.YouwilluseIgniteforcomplexeventprocessing,eventstreaming,andthetime-seriespredictionsofopportunitiesandthreats.Additionally,youwillgothroughoff-heapandon-heapcaching,swapping,andnativeandSpringframeworkintegrationwithApacheIgnite.Bytheendofthisbook,youwillbeconfidentwithallthefeaturesofApacheIgnite2.xthatcanbeusedtobuildahigh-performancesystemarchitecture.

Sujoy Acharya ·自動化 ·4.2萬字

Kubernetes on AWS
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Kubernetes on AWS

Dockercontainerspromisetoradicalizethewaydevelopersandoperationsbuild,deploy,andmanageapplicationsrunningonthecloud.Kubernetesprovidestheorchestrationtoolsyouneedtorealizethatpromiseinproduction.KubernetesonAWSguidesyouindeployingaproduction-readyKubernetesclusterontheAWSplatform.YouwillthendiscoverhowtoutilizethepowerofKubernetes,whichisoneofthefastestgrowingplatformsforproduction-basedcontainerorchestration,tomanageandupdateyourapplications.Kubernetesisbecomingthego-tochoiceforproduction-gradedeploymentsofcloud-nativeapplications.ThisbookcoversKubernetesfromfirstprinciples.YouwillstartbylearningaboutKubernetes'powerfulabstractions-PodsandServices-thatmakemanagingcontainerdeploymentseasy.Thiswillbefollowedbyaguidedtourthroughsettingupaproduction-readyKubernetesclusteronAWS,whilelearningthetechniquesyouneedtosuccessfullydeployandmanageyourownapplications.Bytheendofthebook,youwillhavegainedplentyofhands-onexperiencewithKubernetesonAmazonWebServices.Youwillalsohavepickedupsometipsondeployingandmanagingapplications,keepingyourclusterandapplicationssecure,andensuringthatyourwholesystemisreliableandresilienttofailure.

Ed Robinson ·自動化 ·6.4萬字

Web性能權(quán)威指南
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Web性能權(quán)威指南

本書作者是世界頂尖的Web性能工程師，他在書中深入淺出地講解并演示了針對TCP、UDP和TLS協(xié)議的性能優(yōu)化最佳實踐，以及面向無線和移動網(wǎng)絡(luò)進行優(yōu)化時的特殊要求。隨后，他全面剖析了瀏覽器技術(shù)的幾項重大革新，包括使用這些新技術(shù)時在性能方面需要的獨到考量。革命性的HTTP2.0、XHR客戶端網(wǎng)絡(luò)腳本、基于SSE及WebSocket的實時數(shù)據(jù)流，以及通過WebRTC實現(xiàn)P2P通信，對這些面向未來的重大瀏覽器技術(shù)，本書都從性能優(yōu)化的角度給出了詳盡的解讀和分析。

(加)Ilya Grigorik ·自動化 ·16萬字

從計算機集成制造到智能制造：循序漸進與突變
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從計算機集成制造到智能制造：循序漸進與突變

本書從兩個部分介紹了工業(yè)革命的發(fā)展歷程和智能制造的具體應(yīng)用。第一部分介紹了人類歷史發(fā)展中先進的制造模式，主要內(nèi)容包括：生產(chǎn)方式的變遷、先進制造模式的應(yīng)用對象、先進制造模式的進化、先進制造模式的比較；第二部分介紹新工業(yè)革命與智能制造，其中包括新工業(yè)革命前夜、工業(yè)4.0、工業(yè)互聯(lián)網(wǎng)、智慧云制造等內(nèi)容。

朱文海 ·自動化 ·17.2萬字

Flink原理與實踐
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Flink原理與實踐

本書圍繞大數(shù)據(jù)流處理領(lǐng)域，介紹FlinkDataStreamAPI、時間和窗口、狀態(tài)和檢查點、TableAPI和SQL等知識。本書以實踐為導向，使用大量真實業(yè)務(wù)場景案例來演示如何基于Flink進行流處理。本書主要面向?qū)Υ髷?shù)據(jù)領(lǐng)域感興趣的本科生、研究生，想轉(zhuǎn)行到大數(shù)據(jù)開發(fā)行業(yè)的在職人員，或有一定大數(shù)據(jù)開發(fā)經(jīng)驗的相關(guān)從業(yè)人員。讀者最好有一定的Java或Scala編程基礎(chǔ)，掌握計算機領(lǐng)域的常見技術(shù)概念。

魯蔚征編著 ·自動化 ·14.7萬字

數(shù)據(jù)處理與深度學習
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數(shù)據(jù)處理與深度學習

本書是一本學術(shù)著作，本書的前面幾章是深度學習神經(jīng)網(wǎng)絡(luò)與大數(shù)據(jù)智能處理的理論方法部分；接下來幾章是深度學習神經(jīng)網(wǎng)絡(luò)與大數(shù)據(jù)智能處理的應(yīng)用實踐部分。本書原創(chuàng)性在于提出、研究并給出了十四種深度學習神經(jīng)網(wǎng)絡(luò)與大數(shù)據(jù)智能處理新理論新方法和新應(yīng)用。本書適用于高等院校、科研院所及企事業(yè)單位的科研及教學用書。

朱定局 ·自動化 ·10.7萬字

最簡數(shù)據(jù)挖掘
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最簡數(shù)據(jù)挖掘

本書是數(shù)據(jù)挖掘精髓的濃縮。第1章用通俗易懂的語言回答五個基本問題，包括什么是數(shù)據(jù)，什么是大數(shù)據(jù)，什么是數(shù)據(jù)挖掘，以及數(shù)據(jù)挖掘能挖掘出哪些東西和會產(chǎn)生什么價值。然后用6章的篇幅，介紹k-均值、k-近鄰、樸素貝葉斯、決策樹、回歸分析和關(guān)聯(lián)規(guī)則挖掘等6種方法。第8章介紹一些實際的應(yīng)用，演示簡單的數(shù)據(jù)挖掘方法如何產(chǎn)生巨大的價值。本書可供高校的數(shù)據(jù)科學與大數(shù)據(jù)、智能科學與技術(shù)、人工智能、計算機科學與技術(shù)和統(tǒng)計類、應(yīng)用數(shù)學等相關(guān)專業(yè)的學生作為教材使用，也可供高校的商科大數(shù)據(jù)、金融等專業(yè)的學生、優(yōu)秀的中學生、科技企業(yè)的管理者和相關(guān)行業(yè)的投資人學習參考。

周濤 ·自動化 ·5.9萬字

QQ閱讀手機版

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