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Google SketchUp for Game Design：Beginner's Guide
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Google SketchUp for Game Design：Beginner's Guide

Thebooktakesaclear,step-by-stepapproachtobuildingacompletegamelevelusingSketchUpwithmanypropsandtextures.Thisbookisdesignedforanyonewhowantstocreateentire3DworldsinfreelyavailablegameenginessuchasUnity3D,CryEngine,Ogre,Panda3D,UnrealEngine,andBlenderGameEngine.Italsotargetsallthosewhowishtocreatenewlevelsandassetstosellingameassetstoresoruseinvisualizationoranimation.

Robin de Jongh ·自動化 ·4.9萬字

Learning Quantitative Finance with R
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Learning Quantitative Finance with R

IfyouwanttolearnhowtouseRtobuildquantitativefinancemodelswithease,thisbookisforyou.AnalystswhowanttolearnRtosolvetheirquantitativefinanceproblemswillalsofindthisbookuseful.Someunderstandingofthebasicfinancialconceptswillbeuseful,thoughpriorknowledgeofRisnotrequired.

Dr. Param Jeet Prashant Vats ·自動化 ·4.2萬字

INSTANT PostgreSQL Backup and Restore How-to
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INSTANT PostgreSQL Backup and Restore How-to

Filledwithpractical,step-by-stepinstructionsandclearexplanationsforthemostimportantandusefultasks.Thishands-onguideprovidesaquickandeasywaytobackupandrestoreyourdatabaseusingPostgreSQL.WrittenfordatabaseadministratorswhowanttocreatebackupsoftheircriticalenterprisedataandefficientlyrestoreitusingPostgreSQL.

Shaun M.Thomas ·自動化 ·1.3萬字

R Statistics Cookbook
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R Statistics Cookbook

Risapopularprogramminglanguagefordevelopingstatisticalsoftware.Thisbookwillbeausefulguidetosolvingcommonandnot-so-commonchallengesinstatistics.Withthisbook,you'llbeequippedtoconfidentlyperformessentialstatisticalproceduresacrossyourorganizationwiththehelpofcutting-edgestatisticaltools.You'llstartbyimplementingdatamodeling,dataanalysis,andmachinelearningtosolvereal-worldproblems.You'llthenunderstandhowtoworkwithnonparametricmethods,mixedeffectsmodels,andhiddenMarkovmodels.Thisbookcontainsrecipesthatwillguideyouinperformingunivariateandmultivariatehypothesistests,severalregressiontechniques,andusingrobusttechniquestominimizetheimpactofoutliersindata.You'llalsolearnhowtousethecaretpackageforperformingmachinelearninginR.Furthermore,thisbookwillhelpyouunderstandhowtointerpretchartsandplotstogetinsightsforbetterdecisionmaking.Bytheendofthisbook,youwillbeabletoapplyyourskillstostatisticalcomputationsusingR3.5.Youwillalsobecomewell-versedwithawidearrayofstatisticaltechniquesinRthatareextensivelyusedinthedatascienceindustry.

Francisco Juretig ·自動化 ·7.4萬字

System Center 2016 Virtual Machine Manager Cookbook（Third Edition）
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System Center 2016 Virtual Machine Manager Cookbook（Third Edition）

Ifyouareasolutionsarchitect,technicalconsultant,administrator,oranyothervirtualizationenthusiastwhoneedstouseMicrosoftSystemCenterVirtualMachineManagerinareal-worldenvironment,thenthisisthebookforyou.

Roman Levchenko Edvaldo Alessandro Cardoso ·自動化 ·9.6萬字

3D Printing with RepRap Cookbook
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3D Printing with RepRap Cookbook

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

Richard Salinas ·自動化 ·6.4萬字

SQL Server 2019 Administrator's Guide
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SQL Server 2019 Administrator's Guide

Asyouadvance,thebookcoversessentialtopicssuchasmigration,upgrading,andconsolidation,alongwiththetechniquesthatwillhelpyouwhenthingsgowrong.Onceyou’vegottogripswithintegrationwithAzureandstreamliningbigdatapipelines,you’lllearnbestpracticesfromindustryexpertsformaintainingahighlyreliabledatabasesolution.Whetheryouareanadministratororarelookingtogetstartedwithdatabaseadministration,thisSQLServerbookwillhelpyoudeveloptheskillsyouneedtosuccessfullycreate,design,anddeploydatabasesolutions.

Marek Chmel Vladimi?r Muz?ny? ·自動化 ·11.2萬字

TensorFlow Machine Learning Projects
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TensorFlow Machine Learning Projects

TensorFlowhastransformedthewaymachinelearningisperceived.TensorFlowMachineLearningProjectsteachesyouhowtoexploitthebenefits—simplicity,efficiency,andflexibility—ofusingTensorFlowinvariousreal-worldprojects.Withthehelpofthisbook,you’llnotonlylearnhowtobuildadvancedprojectsusingdifferentdatasetsbutalsobeabletotacklecommonchallengesusingarangeoflibrariesfromtheTensorFlowecosystem.Tostartwith,you’llgettogripswithusingTensorFlowformachinelearningprojects;you’llexploreawiderangeofprojectsusingTensorForestandTensorBoardfordetectingexoplanets,TensorFlow.jsforsentimentanalysis,andTensorFlowLitefordigitclassification.Asyoumakeyourwaythroughthebook,you’llbuildprojectsinvariousreal-worlddomains,incorporatingnaturallanguageprocessing(NLP),theGaussianprocess,autoencoders,recommendersystems,andBayesianneuralnetworks,alongwithtrendingareassuchasGenerativeAdversarialNetworks(GANs),capsulenetworks,andreinforcementlearning.You’lllearnhowtousetheTensorFlowonSparkAPIandGPU-acceleratedcomputingwithTensorFlowtodetectobjects,followedbyhowtotrainanddeveloparecurrentneuralnetwork(RNN)modeltogeneratebookscripts.Bytheendofthisbook,you’llhavegainedtherequiredexpertisetobuildfull-fledgedmachinelearningprojectsatwork.

Ankit Jain Armando Fandango Amita Kapoor ·自動化 ·5.9萬字

Deep Reinforcement Learning Hands-On
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Deep Reinforcement Learning Hands-On

Recentdevelopmentsinreinforcementlearning(RL),combinedwithdeeplearning(DL),haveseenunprecedentedprogressmadetowardstrainingagentstosolvecomplexproblemsinahuman-likeway.Google’suseofalgorithmstoplayanddefeatthewell-knownAtariarcadegameshaspropelledthefieldtoprominence,andresearchersaregeneratingnewideasatarapidpace.DeepReinforcementLearningHands-OnisacomprehensiveguidetotheverylatestDLtoolsandtheirlimitations.YouwillevaluatemethodsincludingCross-entropyandpolicygradients,beforeapplyingthemtoreal-worldenvironments.TakeonboththeAtarisetofvirtualgamesandfamilyfavoritessuchasConnect4.ThebookprovidesanintroductiontothebasicsofRL,givingyoutheknow-howtocodeintelligentlearningagentstotakeonaformidablearrayofpracticaltasks.DiscoverhowtoimplementQ-learningon‘gridworld’environments,teachyouragenttobuyandtradestocks,andfindouthownaturallanguagemodelsaredrivingtheboominchatbots.

Maxim Lapan ·自動化 ·13.4萬字

Excel Programming with VBA Starter
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Excel Programming with VBA Starter

Thisisastarterguide,coveringthebasicsyouneedtogetupandrunningasquicklyaspossible.ThisbookiswrittenforusersofExcelwhowanttospeedupandstreamlinenormallyarduoustasksformaximumproductivity.

Robert Martin ·自動化 ·1.2萬字

Embedded Linux Development Using Yocto Project Cookbook（Second Edition）
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Embedded Linux Development Using Yocto Project Cookbook（Second Edition）

IfyouareanembeddedLinuxdeveloperwiththebasicknowledgeofYoctoProject,thisbookisanidealwaytobroadenyourknowledgewithrecipesforembeddeddevelopment.

Alex González ·自動化 ·8.3萬字

Hands-On Exploratory Data Analysis with R
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Hands-On Exploratory Data Analysis with R

Hands-OnExploratoryDataAnalysiswithRwillhelpyoubuildnotjustafoundationbutalsoexpertiseintheelementarywaystoanalyzedata.Youwilllearnhowtounderstandyourdataandsummarizeitsmaincharacteristics.You'llalsouncoverthestructureofyourdata,andyou'lllearngraphicalandnumericaltechniquesusingtheRlanguage.Thisbookcoverstheentireexploratorydataanalysis(EDA)process—datacollection,generatingstatistics,distribution,andinvalidatingthehypothesis.Asyouprogressthroughthebook,youwilllearnhowtosetupadataanalysisenvironmentwithtoolssuchasggplot2,knitr,andRMarkdown,usingtoolssuchasDOEScatterPlotandSML2010formultifactor,optimization,andregressiondataproblems.Bytheendofthisbook,youwillbeabletosuccessfullycarryoutapreliminaryinvestigationonanydataset,identifyhiddeninsights,andpresentyourresultsinabusinesscontext.

Radhika Datar Harish Garg ·自動化 ·3.6萬字

ETL with Azure Cookbook
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ETL with Azure Cookbook

ETLisoneofthemostcommonandtediousproceduresformovingandprocessingdatafromonedatabasetoanother.Withthehelpofthisbook,youwillbeabletospeeduptheprocessbydesigningeffectiveETLsolutionsusingtheAzureservicesavailableforhandlingandtransforminganydatatosuityourrequirements.Withthiscookbook,you’llbecomewellversedinallthefeaturesofSQLServerIntegrationServices(SSIS)toperformdatamigrationandETLtasksthatintegratewithAzure.You’lllearnhowtotransformdatainAzureandunderstandhowlegacysystemsperformETLon-premisesusingSSIS.LaterchapterswillgetyouuptospeedwithconnectingandretrievingdatafromSQLServer2019BigDataClusters,andevenshowyouhowtoextendandcustomizetheSSIStoolboxusingcustom-developedtasksandtransforms.ThisETLbookalsocontainspracticalrecipesformovingandtransformingdatawithAzureservices,suchasDataFactoryandAzureDatabricks,andletsyouexplorevariousoptionsformigratingSSISpackagestoAzure.Towardtheend,you’llfindouthowtoprofiledatainthecloudandautomateservicecreationwithBusinessIntelligenceMarkupLanguage(BIML).Bytheendofthisbook,you’llhavedevelopedtheskillsyouneedtocreateandautomateETLsolutionson-premisesaswellasinAzure.

Christian Cote Matija Lah Madina Saitakhmetova ·自動化 ·7.5萬字

PostgreSQL 10 Administration Cookbook
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PostgreSQL 10 Administration Cookbook

Thisbookisfordatabaseadministrators,dataarchitects,developers,oranyonewithaninterestinplanningfor,orrunning,liveproductiondatabasesusingPostgreSQL.Itismostsuitedtothoselookingforhands-onsolutionstoanyproblemassociatedwithPostgreSQLadministration.

Simon Riggs Gianni Ciolli ·自動化 ·13.7萬字

Natural Language Processing Fundamentals
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Natural Language Processing Fundamentals

IfNLPhasn'tbeenyourforte,NaturalLanguageProcessingFundamentalswillmakesureyousetofftoasteadystart.ThiscomprehensiveguidewillshowyouhowtoeffectivelyusePythonlibrariesandNLPconceptstosolvevariousproblems.You'llbeintroducedtonaturallanguageprocessinganditsapplicationsthroughexamplesandexercises.Thiswillbefollowedbyanintroductiontotheinitialstagesofsolvingaproblem,whichincludesproblemdefinition,gettingtextdata,andpreparingitformodeling.Withexposuretoconceptslikeadvancednaturallanguageprocessingalgorithmsandvisualizationtechniques,you'lllearnhowtocreateapplicationsthatcanextractinformationfromunstructureddataandpresentitasimpactfulvisuals.AlthoughyouwillcontinuetolearnNLP-basedtechniques,thefocuswillgraduallyshifttodevelopingusefulapplications.Inthesesections,you'llunderstandhowtoapplyNLPtechniquestoanswerquestionsascanbeusedinchatbots.Bytheendofthisbook,you'llbeabletoaccomplishavariedrangeofassignmentsrangingfromidentifyingthemostsuitabletypeofNLPtaskforsolvingaproblemtousingatoollikespacyorgensimforperformingsentimentanalysis.Thebookwilleasilyequipyouwiththeknowledgeyouneedtobuildapplicationsthatinterprethumanlanguage.

Sohom Ghosh Dwight Gunning ·自動化 ·5.5萬字

PostgreSQL Administration Essentials
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PostgreSQL Administration Essentials

IfyouareadatabaseadministratorwhoneedstogettogripswithPostgreSQLquicklyandefficiently,thenthisbookisforyou.Thisbookwillalsobehighlybeneficialifyouareaprojectleaderoradeveloperwhoisinterestedinknowingmoreaboutdatabasesystemsorbottleneckdetection,asitwillenableyoutoworkmorecloselyandcooperativelywithyouradministrators.

Hans Jürgen Sch?nig ·自動化 ·3.5萬字

Machine Learning Quick Reference
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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.

Rahul Kumar ·自動化 ·4.7萬字

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

Managing Mission：Critical Domains and DNS
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Managing Mission：Critical Domains and DNS

Idealforsysadmins,webmasters,ITconsultants,anddevelopers-anyoneresponsibleformaintainingyourorganization'scoreDNS.

Mark E. Jeftovic ·自動化 ·8.2萬字

Data Science for Marketing Analytics
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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.

Tommy Blanchard Debasish Behera Pranshu Bhatnagar ·自動化 ·6.3萬字

QQ閱讀手機版

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