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TensorFlow Machine Learning Cookbook
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Exploremachinelearningconceptsusingthelatestnumericalcomputinglibrary—TensorFlow—withthehelpofthiscomprehensivecookbookAboutThisBook?YourquickguidetoimplementingTensorFlowinyourday-to-daymachinelearningactivities?Learnadvancedtechniquesthatbringmoreaccuracyandspeedtomachinelearning?UpgradeyourknowledgetothesecondgenerationofmachinelearningwiththisguideonTensorFlowWhoThisBookIsForThisbookisidealfordatascientistswhoarefamiliarwithC++orPythonandperformmachinelearningactivitiesonaday-to-daybasis.Intermediateandadvancedmachinelearningimplementerswhoneedaquickguidetheycaneasilynavigatewillfindituseful.WhatYouWillLearn?BecomefamiliarwiththebasicsoftheTensorFlowmachinelearninglibrary?GettoknowLinearRegressiontechniqueswithTensorFlow?LearnSVMswithhands-onrecipes?Implementneuralnetworksandimprovepredictions?ApplyNLPandsentimentanalysistoyourdata?MasterCNNandRNNthroughpracticalrecipes?TakeTensorFlowintoproductionInDetailTensorFlowisanopensourcesoftwarelibraryforMachineIntelligence.TheindependentrecipesinthisbookwillteachyouhowtouseTensorFlowforcomplexdatacomputationsandwillletyoudigdeeperandgainmoreinsightsintoyourdatathaneverbefore.You’llworkthroughrecipesontrainingmodels,modelevaluation,sentimentanalysis,regressionanalysis,clusteringanalysis,artificialneuralnetworks,anddeeplearning–eachusingGoogle’smachinelearninglibraryTensorFlow.ThisguidestartswiththefundamentalsoftheTensorFlowlibrarywhichincludesvariables,matrices,andvariousdatasources.Movingahead,youwillgethands-onexperiencewithLinearRegressiontechniqueswithTensorFlow.Thenextchapterscoverimportanthigh-levelconceptssuchasneuralnetworks,CNN,RNN,andNLP.OnceyouarefamiliarandcomfortablewiththeTensorFlowecosystem,thelastchapterwillshowyouhowtotakeittoproduction.StyleandapproachThisbooktakesarecipe-basedapproachwhereeverytopicisexplicatedwiththehelpofareal-worldexample.

Nick McClure ·電子通信 ·7.7萬(wàn)字

Machine Learning with R
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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.

Brett Lantz ·自動(dòng)化 ·12.1萬(wàn)字

Windows Server 2019 Automation with PowerShell Cookbook
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AutomateWindowsservertaskswiththepowerfulfeaturesofthePowerShellLanguageKeyFeatures*LeveragePowerShelltoautomatecomplexWindowsservertasks*MasternewfeaturessuchasDevOps,andcontainers,andspeeduptheirperformanceusingPowerShell*ImprovePowerShell'susability,andcontrolandmanageWindows-basedenvironmentsbyworkingthroughexcitingrecipesBookDescriptionWindowsServer2019representsthelatestversionofMicrosoft’sflagshipserveroperatingsystem.ItalsocomeswithPowerShellVersion5.1andhasanumberofadditionalfeaturesthatITprosfinduseful.ThebookhelpsthereaderlearnhowtousePowerShellandmanagecoreroles,features,andservicesofWindowsServer2019.YouwillbeginwithcreatingaPowerShellAdministrativeEnvironmentthathasupdatedversionsofPowerShellandtheWindowsManagementFramework,updatedversionsofthe.NETFramework,andthird-partymodules.Next,youwilllearntousePowerShelltosetupandconfigureWindowsServer2019networkingandalsomanagingobjectsintheADenvironment.Youwillalsolearntosetupahosttoutilizecontainersandhowtodeploycontainers.YouwillalsobeimplementingdifferentmechanismsforachievingdesiredstateconfigurationalongwithgettingwellversedwithAzureinfrastructureandhowtosetupVirtualMachines,websites,andsharedfilesonAzure.Finally,youwillbeusingsomepowerfultoolsyoucanusetodiagnoseandresolveissueswithWindowsServer2019.Bytheendofthebook,youwilllearnalotoftripsandtrickstoautomateyourwindowsenvironmentwithPowerShellWhatyouwilllearn*PerformkeyadmintasksonWindowsServer2019*EmployingbestpracticesforwritingPowerShellscriptsandconfiguringWindowsServer2019*Usethe.NETFrameworktoachieveadministrativescripting*SetupVMs,websites,andsharedfilesonAzure*Reportsystemperformanceusingbuilt-incmdletsandWMItoobtainsinglemeasurements*KnowthetoolsyoucanusetodiagnoseandresolveissueswithWindowsServerWhothisbookisforIfyouareasystemsadministrator,engineer,oranarchitectworkingwithWindowsServer2016interestedinupgradingtoWindowsServer2019andautomatingtaskswithPowerShell,thenthisbookisforyou.AbasicknowledgeofPowerShellisexpected.

Thomas Lee ·自動(dòng)化 ·9.3萬(wàn)字

數(shù)據(jù)運(yùn)營(yíng)之路:掘金數(shù)據(jù)化時(shí)代
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隨著互聯(lián)網(wǎng)技術(shù)的逐步深入,各行各業(yè)在線上線下均產(chǎn)生了大量的數(shù)據(jù),如何讓這些數(shù)據(jù)產(chǎn)生價(jià)值成為每一個(gè)企業(yè)亟待解決的問(wèn)題。為數(shù)據(jù)運(yùn)營(yíng)搭建系統(tǒng)化的體系及建立數(shù)據(jù)運(yùn)營(yíng)方法論則是運(yùn)營(yíng)工作進(jìn)入下一個(gè)階段的必由之路。本書(shū)首次全面地搭建數(shù)據(jù)運(yùn)營(yíng)技術(shù)體系,并借由筆者的親歷經(jīng)驗(yàn),融合跨國(guó)企業(yè)與本土企業(yè)的優(yōu)勢(shì),提出更適合國(guó)內(nèi)企業(yè)當(dāng)下發(fā)展的數(shù)據(jù)運(yùn)營(yíng)實(shí)踐方法。本書(shū)中既有詳盡的數(shù)據(jù)分析方法、模型、應(yīng)用案例,也有針對(duì)各個(gè)運(yùn)營(yíng)指標(biāo)的系統(tǒng)的分析方法論,通過(guò)將數(shù)據(jù)運(yùn)營(yíng)里晦澀的內(nèi)容以豐富的圖例和生動(dòng)化的語(yǔ)言進(jìn)行闡釋?zhuān)瑤椭跞霐?shù)據(jù)行業(yè)的大學(xué)畢業(yè)生找到快速上手的方法,也給入行五年到八年左右的資深人士提供了更豐富的數(shù)據(jù)技術(shù)應(yīng)用案例。希望這本書(shū)可以成為一本數(shù)據(jù)運(yùn)營(yíng)的經(jīng)典讀物,成為一本幫助企業(yè)了解數(shù)據(jù)如何創(chuàng)造價(jià)值的“百寶書(shū)”。

張明明 ·自動(dòng)化 ·8.9萬(wàn)字

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