财神摆放位置与朝向

GiventhegrowingpopularityoftheR-zerocoststatisticalprogrammingenvironment,therehasneverbeenabettertimetostartapplyingMLtoyourdata.ThisbookwillteachyouadvancedtechniquesinML,using?thelatestcodeinR3.5.Youwilldelveintovariouscomplexfeaturesofsupervisedlearning,unsupervisedlearning,andreinforcementlearningalgorithmstodesignefficientandpowerfulMLmodels.Thisnewlyupdatededitionispackedwithfreshexamplescoveringarangeoftasksfromdifferentdomains.MasteringMachineLearningwithRstartsbyshowingyouhowtoquicklymanipulatedataandprepareitforanalysis.Youwillexploresimpleandcomplexmodelsandunderstandhowtocomparethem.You’llalsolearntousethelatestlibrarysupport,suchasTensorFlowandKeras-R,forperformingadvancedcomputations.Additionally,you’llexplorecomplextopics,suchasnaturallanguageprocessing(NLP),timeseriesanalysis,andclustering,whichwillfurtherrefineyourskillsindevelopingapplications.EachchapterwillhelpyouimplementadvancedMLalgorithmsusingreal-worldexamples.You’llevenbeintroducedtoreinforcementlearning,alongwithitsvarioususecasesandmodels.Intheconcludingchapters,you’llgetaglimpseintohowsomeoftheseblackboxmodelscanbediagnosedandunderstood.Bytheendofthisbook,you’llbeequippedwiththeskillstodeployMLtechniquesinyourownprojectsoratwork.

·6.5萬字

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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.

·6.4萬字

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基于RPA技術財務機器人的應用與研究

財務機器人自2017年脫穎而出，它深刻影響了財務組織結構和工作方式，使會計人產生危機感，也給會計行業帶來了嚴峻的挑戰，會計教育改革勢在必行。本書分為三部分，第一部分全面介紹了RPA財務機器人，包含財務機器人的產生、原理、優勢、適用條件和適用行業；第二部分介紹了RPA財務機器人的開發平臺和常用組件；第三部分介紹了RPA財務機器人開發，包括對賬機器人、記賬機器人、報表機器人、收付款機器人、應收應付機器人、報銷機器人，以及RPA機器人的價值與風險。

·6.4萬字

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Information Security Handbook

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·6.4萬字

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Learning VMware App Volumes

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·6.5萬字

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TensorFlow Deep Learning Projects

Thisbookisfordatascientists,machinelearningdevelopersaswellasdeeplearningpractitioners,whowanttobuildinterestingdeeplearningprojectsthatleveragethepowerofTensorflow.Someunderstandingofmachinelearninganddeeplearning,andfamiliaritywiththeTensorFlowframeworkisallyouneedtogetstartedwiththisbook.

·6.5萬字

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Python Data Analysis

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·6.5萬字

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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.

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AWS Certified Advanced Networking：Specialty Exam Guide

Amazonhasrecentlycomeupawithspecialtycertificationswhichvalidatesaparticularuser'sexpertisethathe/shewouldwanttobuildacareerin.SincetheCloudmarketnowdemandsofAWSnetworkingskillsthisbecomesthemostwantedcertificationtoupheldonesindustryportfolio.Thisbookwouldbeyouridealcompaniontogettingskilledwithcomplexandcreativenetworkingsolutions.Cloudpractitionersorassociate-levelcertifiedindividualsinterestedinvalidatingadvancedskillsinnetworkingcanoptforthispracticalguide.ThisbookwillincludetopicsthatwillhelpyoudesignandimplementAWSandhybridITnetworkarchitecturesalongwithsomenetworkautomationtasks.YouwillalsodelvedeepintotopicsthatwillhelpyoudesignandmaintainnetworkarchitectureforallAWSservices.Likemostofourcertificationguidesthisbookwillalsofollowauniqueapproachoftestingyourlearningwithchapter-levelpracticeexercisesandcertification-basedmocktests.Theexammocktestswillhelpyougaugewhetheryouarereadytotakethecertificationexamornot.Thisbookwillalsobeanadvancedguidefornetworkingprofessionalstoenhancetheirnetworkingskillsandgetcertified.Bytheendofthisbook,youwillbeallequippedwithAWSnetworkingconceptsandtechniquesandwillhavemasteredcorearchitecturalbestpractices.

·6.4萬字

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Seven NoSQL Databases in a Week

IfyouareabuddingDBAoradeveloperwhowantstogetstartedwiththefundamentalsofNoSQLdatabases,thisbookisforyou.RelationalDBAswhowanttogetinsightsintothevariousofferingsofpopularNoSQLdatabaseswillalsofindthisbooktobeveryuseful.

·6.5萬字

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Data Wrangling with Python

Fordatatobeusefulandmeaningful,itmustbecuratedandrefined.DataWranglingwithPythonteachesyouthecoreideasbehindtheseprocessesandequipsyouwithknowledgeofthemostpopulartoolsandtechniquesinthedomain.ThebookstartswiththeabsolutebasicsofPython,focusingmainlyondatastructures.ItthendelvesintothefundamentaltoolsofdatawranglinglikeNumPyandPandaslibraries.You’llexploreusefulinsightsintowhyyoushouldstayawayfromtraditionalwaysofdatacleaning,asdoneinotherlanguages,andtakeadvantageofthespecializedpre-builtroutinesinPython.ThiscombinationofPythontipsandtrickswillalsodemonstratehowtousethesamePythonbackendandextract/transformdatafromanarrayofsourcesincludingtheInternet,largedatabasevaults,andExcelfinancialtables.Tohelpyouprepareformorechallengingscenarios,you’llcoverhowtohandlemissingorwrongdata,andreformatitbasedontherequirementsfromthedownstreamanalyticstool.Thebookwillfurtherhelpyougraspconceptsthroughreal-worldexamplesanddatasets.Bytheendofthisbook,youwillbeconfidentinusingadiversearrayofsourcestoextract,clean,transform,andformatyourdataefficiently.

·6.4萬字

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Learning Apache Spark 2

Thisguideappealstobigdataengineers,analysts,architects,softwareengineers,eventechnicalmanagerswhoneedtoperformefficientdataprocessingonHadoopatrealtime.BasicfamiliaritywithJavaorScalawillbehelpful.Theassumptionisthatreaderswillbefromamixedbackground,butwouldbetypicallypeoplewithbackgroundinengineering/datasciencewithnopriorSparkexperienceandwanttounderstandhowSparkcanhelpthemontheiranalyticsjourney.

·6.4萬字

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PyTorch Deep Learning Hands-On

PyTorchDeepLearningHands-Onisabookforengineerswhowantafast-pacedguidetodoingdeeplearningworkwithPytorch.Itisnotanacademictextbookanddoesnottrytoteachdeeplearningprinciples.ThebookwillhelpyoumostifyouwanttogetyourhandsdirtyandputPyTorchtoworkquickly.PyTorchDeepLearningHands-OnshowshowtoimplementthemajordeeplearningarchitecturesinPyTorch.Itcoversneuralnetworks,computervision,CNNs,naturallanguageprocessing(RNN),GANs,andreinforcementlearning.YouwillalsobuilddeeplearningworkflowswiththePyTorchframework,migratemodelsbuiltinPythontohighlyefficientTorchScript,anddeploytoproductionusingthemostsophisticatedavailabletools.Eachchapterfocusesonadifferentareaofdeeplearning.Chaptersstartwitharefresheronhowthemodelworks,beforesharingthecodeyouneedtoimplementtheminPyTorch.ThisbookisidealifyouwanttorapidlyaddPyTorchtoyourdeeplearningtoolset.

·6.4萬字

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Big Data Analytics with Hadoop 3

BigDataAnalyticswithHadoop3isforyouifyouarelookingtobuildhigh-performanceanalyticssolutionsforyourenterpriseorbusinessusingHadoop3’spowerfulfeatures,oryou’renewtobigdataanalytics.AbasicunderstandingoftheJavaprogramminglanguageisrequired.

·6.4萬字

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3D Printing with RepRap Cookbook

Asystematicguideconsistingofover100recipeswhichfocusonhelpingyouunderstandtheprocessof3DprintingusingRepRapmachines.Thebookaimsatprovidingprofessionalswithaseriesofworkingrecipestohelpmaketheirfuzzynotionsintoreal,saleableprojects/objectsusing3Dprintingtechnology.ThisbookisfornovicedesignersandartistswhoownaRepRap-based3Dprinter,havefundamentalknowledgeofitsworking,andwhodesiretogainbettermasteryoftheprintingprocess.Forthemoreexperienceduser,itwillprovideahandyvisualresource,withside-by-sidecomparisonsofthetwomostpopularslicers,SkeinforgeandSlic3r.Abasicunderstandingofdesigningandmodelingprinciplesandelementaryknowledgeofdigitalmodelingwouldbeaplus.

·6.4萬字

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Mastering Metasploit

Thisbookisahands-onguidetopenetrationtestingusingMetasploitandcoversitscompletedevelopment.ItshowsanumberoftechniquesandmethodologiesthatwillhelpyoumastertheMetasploitframeworkandexploreapproachestocarryingoutadvancedpenetrationtestinginhighlysecuredenvironments.

·6.3萬字

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ArchiCAD 19：The Definitive Guide

Thisbookisforarchitects,architecturaltechnicians,andconstructionprofessionalswhoarefamiliarwith2DCADprogramssuchasAutoCADLite,orhavesomeexposuretoa3DBIMpackagesuchasRevit.NoexperiencewithArchiCADisrequired.Ifyouwanttolearntheskillsneededforarchitecturaldrawingproductionintherealworld,thenthisbookisforyou.

·6.3萬字

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Mastering Mesos

ThebookaimstoserveDevOpsengineersandsystemadministratorswhoarefamiliarwiththebasicsofmanagingaLinuxsystemanditstools

·6.3萬字

會員

Data Science for Marketing Analytics

DataScienceforMarketingAnalyticscoverseverystageofdataanalytics,fromworkingwitharawdatasettosegmentingapopulationandmodelingdifferentpartsofthepopulationbasedonthesegments.ThebookstartsbyteachingyouhowtousePythonlibraries,suchaspandasandMatplotlib,toreaddatafromPython,manipulateit,andcreateplots,usingbothcategoricalandcontinuousvariables.Then,you'lllearnhowtosegmentapopulationintogroupsandusedifferentclusteringtechniquestoevaluatecustomersegmentation.Asyoumakeyourwaythroughthechapters,you'llexplorewaystoevaluateandselectthebestsegmentationapproach,andgoontocreatealinearregressionmodeloncustomervaluedatatopredictlifetimevalue.Intheconcludingchapters,you'llgainanunderstandingofregressiontechniquesandtoolsforevaluatingregressionmodels,andexplorewaystopredictcustomerchoiceusingclassificationalgorithms.Finally,you'llapplythesetechniquestocreateachurnmodelformodelingcustomerproductchoices.Bytheendofthisbook,youwillbeabletobuildyourownmarketingreportingandinteractivedashboardsolutions.

·6.3萬字

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Microsoft System Center Configuration Manager Advanced Deployment

IfyouareanexperiencedConfigurationManageradministratorlookingtoadvanceyourcareerorgetmorefromyourcurrentenvironment,thenthisbookisidealforyou.PriorexperienceofdeployingandmanagingaConfigurationManagersitewouldbehelpfulinfollowingtheexamplesthroughoutthisbook.

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Mastering Machine Learning with R

Kubernetes on AWS

基于RPA技術財務機器人的應用與研究

Information Security Handbook

Learning VMware App Volumes

TensorFlow Deep Learning Projects

Python Data Analysis

CentOS 8 Essentials

AWS Certified Advanced Networking：Specialty Exam Guide

Seven NoSQL Databases in a Week

Data Wrangling with Python

Learning Apache Spark 2

PyTorch Deep Learning Hands-On

Big Data Analytics with Hadoop 3

3D Printing with RepRap Cookbook

Mastering Metasploit

ArchiCAD 19：The Definitive Guide

Mastering Mesos

Data Science for Marketing Analytics

Microsoft System Center Configuration Manager Advanced Deployment