创造游戏巅峰造就不朽的情缘

Thisbookisforanyonewhointendstoworkwithlargeandcomplexdatasets.FamiliaritywithbasicPythonandmachinelearningconceptsisrecommended.Workingknowledgeinstatisticsandcomputationalmathematicswouldalsobehelpful.

·9.5萬字

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Mastering Machine Learning on AWS

AWSisconstantlydrivingnewinnovationsthatempowerdatascientiststoexploreavarietyofmachinelearning(ML)cloudservices.ThisbookisyourcomprehensivereferenceforlearningandimplementingadvancedMLalgorithmsinAWScloud.Asyougothroughthechapters,you’llgaininsightsintohowthesealgorithmscanbetrained,tunedanddeployedinAWSusingApacheSparkonElasticMapReduce(EMR),SageMaker,andTensorFlow.WhileyoufocusonalgorithmssuchasXGBoost,linearmodels,factorizationmachines,anddeepnets,thebookwillalsoprovideyouwithanoverviewofAWSaswellasdetailedpracticalapplicationsthatwillhelpyousolvereal-worldproblems.EverypracticalapplicationincludesaseriesofcompanionnotebookswithallthenecessarycodetorunonAWS.Inthenextfewchapters,youwilllearntouseSageMakerandEMRNotebookstoperformarangeoftasks,rightfromsmartanalytics,andpredictivemodeling,throughtosentimentanalysis.Bytheendofthisbook,youwillbeequippedwiththeskillsyouneedtoeffectivelyhandlemachinelearningprojectsandimplementandevaluatealgorithmsonAWS.

·6.2萬字

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TensorFlow 1.x Deep Learning Cookbook

Thisbookisintendedfordataanalysts,datascientists,machinelearningpractitionersanddeeplearningenthusiastswhowanttoperformdeeplearningtasksonaregularbasisandarelookingforahandyguidetheycanreferto.Peoplewhoareslightlyfamiliarwithneuralnetworks,andnowwanttogainexpertiseinworkingwithdifferenttypesofneuralnetworksanddatasets,willfindthisbookquiteuseful.

·9.1萬字

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R Graphs Cookbook Second Edition

TargetedatthosewithanexistingfamiliaritywithRprogramming,thispracticalguidewillappealdirectlytoprogrammersinterestedinlearningeffectivedatavisualizationtechniqueswithRandawide-rangeofitsassociatedlibraries.

·5.8萬字

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Applied Supervised Learning with R

Rprovidesexcellentvisualizationfeaturesthatareessentialforexploringdatabeforeusingitinautomatedlearning.AppliedSupervisedLearningwithRhelpsyoucoverthecompleteprocessofemployingRtodevelopapplicationsusingsupervisedmachinelearningalgorithmsforyourbusinessneeds.Thebookstartsbyhelpingyoudevelopyouranalyticalthinkingtocreateaproblemstatementusingbusinessinputsanddomainresearch.Youwillthenlearndifferentevaluationmetricsthatcomparevariousalgorithms,andlaterprogresstousingthesemetricstoselectthebestalgorithmforyourproblem.Afterfinalizingthealgorithmyouwanttouse,youwillstudythehyperparameteroptimizationtechniquetofine-tuneyoursetofoptimalparameters.Topreventyoufromoverfittingyourmodel,adedicatedsectionwillevendemonstratehowyoucanaddvariousregularizationterms.Bytheendofthisbook,youwillhavetheadvancedskillsyouneedformodelingasupervisedmachinelearningalgorithmthatpreciselyfulfillsyourbusinessneeds.

·7.5萬字

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The Deep Learning with PyTorch Workshop

Wanttogettogripswithoneofthemostpopularmachinelearninglibrariesfordeeplearning?TheDeepLearningwithPyTorchWorkshopwillhelpyoudojustthat,jumpstartingyourknowledgeofusingPyTorchfordeeplearningevenifyou’restartingfromscratch.It'snosurprisethatdeeplearning'spopularityhasrisensteeplyinthepastfewyears,thankstointelligentapplicationssuchasself-drivingvehicles,chatbots,andvoice-activatedassistantsthataremakingourliveseasier.Thisbookwilltakeyouinsidetheworldofdeeplearning,whereyou'llusePyTorchtounderstandthecomplexityofneuralnetworkarchitectures.TheDeepLearningwithPyTorchWorkshopstartswithanintroductiontodeeplearninganditsapplications.You'llexplorethesyntaxofPyTorchandlearnhowtodefineanetworkarchitectureandtrainamodel.Next,you'lllearnaboutthreemainneuralnetworkarchitectures-convolutional,artificial,andrecurrent-andevensolvereal-worlddataproblemsusingthesenetworks.Laterchapterswillshowyouhowtocreateastyletransfermodeltodevelopanewimagefromtwoimages,beforefinallytakingyouthroughhowRNNsstorememorytosolvekeydataissues.Bytheendofthisbook,you'llhavemasteredtheessentialconcepts,tools,andlibrariesofPyTorchtodevelopyourowndeepneuralnetworksandintelligentapps.

·7.4萬字

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Unreal Development Kit Game Programming with UnrealScript：Beginner's Guide

Thisisastep-by-stepbookthatbuildsonyourknowledgebyaddingtoanexamplegameoverthecourseofeachchapter.Eachtopicusesexamplecodethatcanbecompiledandtestedtoshowhowthingsworkinsteadofjusttellingyou.Complicatedtasksarebrokendownintoeasytofollowstepswithclearexplanationsofwhateachlineofcodeisdoing.ThisbookiswrittenforbeginnerstoUnrealScript,whetherthisisyourfirstexperiencewithprogrammingoryou'recomingintoitfromanotherlanguageandwouldliketolearnhowUnrealScriptusesconceptsyou'realreadyfamiliarwith.IfyouwouldliketomakegameswiththeUnrealDevelopmentKit,thisbookisforyou.

·9.6萬字

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Intelligent Projects Using Python

ThisbookwillbeaperfectcompanionifyouwanttobuildinsightfulprojectsfromleadingAIdomainsusingPython.ThebookcoversdetailedimplementationofprojectsfromallthecoredisciplinesofAI.Westartbycoveringthebasicsofhowtocreatesmartsystemsusingmachinelearninganddeeplearningtechniques.YouwillassimilatevariousneuralnetworkarchitecturessuchasCNN,RNN,LSTM,tosolvecriticalnewworldchallenges.Youwilllearntotrainamodeltodetectdiabeticretinopathyconditionsinthehumaneyeandcreateanintelligentsystemforperformingavideo-to-texttranslation.YouwillusethetransferlearningtechniqueinthehealthcaredomainandimplementstyletransferusingGANs.LateryouwilllearntobuildAI-basedrecommendationsystems,amobileappforsentimentanalysisandapowerfulchatbotforcarryingcustomerservices.YouwillimplementAItechniquesinthecybersecuritydomaintogenerateCaptchas.Lateryouwilltrainandbuildautonomousvehiclestoself-driveusingreinforcementlearning.YouwillbeusinglibrariesfromthePythonecosystemsuchasTensorFlow,Kerasandmoretobringthecoreaspectsofmachinelearning,deeplearning,andAI.Bytheendofthisbook,youwillbeskilledtobuildyourownsmartmodelsfortacklinganykindofAIproblemswithoutanyhassle.

·6.4萬字

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Building Smart LEGO MINDSTORMS EV3 Robots

Thisbookisforhobbyists,roboticengineers,andprogrammerswhounderstandthebasicsoftheEV3programminglanguageandarefamiliarwithbuildingwithLEGOTechnicandwanttotrysomeadvancedprojects.IfyouwanttolearnsomenewengineeringtechniquesandtakeyourexperiencewiththeEV3tothenextlevel,thenthisbookisforyou.

·4萬字

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WebGL Hotshot

Everychapterstartswitha'missionbriefing'sectionthatdescribeswhatistobeachievedbytheendofthechapter.Thisisfollowedwiththedecisionsandstepsrequiredtoaccomplishthemissionobjectivewithchallengestotaketheprojectfurther.Thescopeforthebookthusmimicstherealliferequirementsofadeveloperandgetsyoureadytosuccessfullybuildyourownproject.Ifyouareawebdesignerlookingtoexpandyourknowledgeof3Dgraphicsconceptsandbroadenyourexistingskillset,thenthisbookisforyou.Thoselookingforanintroductionto3DgraphicswillbenefitfromWebGLHotshotasitisaperfectguidetomaster3Dconcepts,helpingyoubuildanddeploy3Dworldsmuchquicker.ThebookassumesabasicknowledgeofHTML,thoughitcanbelearnedconcurrentlywhilereadingthisbook.Basicprogrammingknowledgeisuseful;however,thegraphicalnatureofweb3Dcontentallowsyoutolearnprogrammingthroughexperimentation.

·7.4萬字

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R Deep Learning Essentials

Deeplearningisapowerfulsubsetofmachinelearningthatisverysuccessfulindomainssuchascomputervisionandnaturallanguageprocessing(NLP).ThissecondeditionofRDeepLearningEssentialswillopenthegatesforyoutoentertheworldofneuralnetworksbybuildingpowerfuldeeplearningmodelsusingtheRecosystem.Thisbookwillintroduceyoutothebasicprinciplesofdeeplearningandteachyoutobuildaneuralnetworkmodelfromscratch.Asyoumakeyourwaythroughthebook,youwillexploredeeplearninglibraries,suchasKeras,MXNet,andTensorFlow,andcreateinterestingdeeplearningmodelsforavarietyoftasksandproblems,includingstructureddata,computervision,textdata,anomalydetection,andrecommendationsystems.You’llcoveradvancedtopics,suchasgenerativeadversarialnetworks(GANs),transferlearning,andlarge-scaledeeplearninginthecloud.Intheconcludingchapters,youwilllearnaboutthetheoreticalconceptsofdeeplearningprojects,suchasmodeloptimization,overfitting,anddataaugmentation,togetherwithotheradvancedtopics.Bytheendofthisbook,youwillbefullypreparedandabletoimplementdeeplearningconceptsinyourresearchworkorprojects.

·8.2萬字

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Hands-On Convolutional Neural Networks with TensorFlow

ConvolutionalNeuralNetworks(CNN)areoneofthemostpopulararchitecturesusedincomputervisionapps.ThisbookisanintroductiontoCNNsthroughsolvingreal-worldproblemsindeeplearningwhileteachingyoutheirimplementationinpopularPythonlibrary-TensorFlow.Bytheendofthebook,youwillbetrainingCNNsinnotime!Westartwithanoverviewofpopularmachinelearninganddeeplearningmodels,andthengetyousetupwithaTensorFlowdevelopmentenvironment.Thisenvironmentisthebasisforimplementingandtrainingdeeplearningmodelsinlaterchapters.Then,youwilluseConvolutionalNeuralNetworkstoworkonproblemssuchasimageclassification,objectdetection,andsemanticsegmentation.Afterthat,youwillusetransferlearningtoseehowthesemodelscansolveotherdeeplearningproblems.Youwillalsogetatasteofimplementinggenerativemodelssuchasautoencodersandgenerativeadversarialnetworks.Lateron,youwillseeusefultipsonmachinelearningbestpracticesandtroubleshooting.Finally,youwilllearnhowtoapplyyourmodelsonlargedatasetsofmillionsofimages.

·5.2萬字

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Machine Learning Projects for Mobile Applications

Machinelearningisatechniquethatfocusesondevelopingcomputerprogramsthatcanbemodifiedwhenexposedtonewdata.Wecanmakeuseofitforourmobileapplicationsandthisbookwillshowyouhowtodoso.Thebookstartswiththebasicsofmachinelearningconceptsformobileapplicationsandhowtogetwellequippedforfurthertasks.YouwillstartbydevelopinganapptoclassifyageandgenderusingCoreMLandTensorflowLite.YouwillexploreneuralstyletransferandgetfamiliarwithhowdeepCNNswork.WewillalsotakeacloserlookatGoogle’sMLKitfortheFirebaseSDKformobileapplications.Youwilllearnhowtodetecthandwrittentextonmobile.YouwillalsolearnhowtocreateyourownSnapchatfilterbymakinguseoffacialattributesandOpenCV.Youwilllearnhowtotrainyourownfoodclassificationmodelonyourmobile;allofthiswillbedonewiththehelpofdeeplearningtechniques.Lastly,youwillbuildanimageclassifieronyourmobile,compareitsperformance,andanalyzetheresultsonbothmobileandcloudusingTensorFlowLitewithanRCNN.Bytheendofthisbook,youwillnotonlyhavemasteredtheconceptsofmachinelearningbutalsolearnedhowtoresolveproblemsfacedwhilebuildingpowerfulappsonmobilesusingTensorFlowLite,Caffe2,andCoreML.

·3.8萬字

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Corona SDK Mobile Game Development：Beginner's Guide

Youwilllearnbydoing.FirstabriefcrashcourseinLuaandCorona.Oncethisisdoneyouwillbethrownstraightintocreatingfullyfunctionalcompletegameschapterbychapter.Certainchaptersarereservedforaddingadvancedfeaturessuchasmultipledeviceintegration,socialnetworkingandmonetization.ThisbookisforanyonewhowantstohaveagoatcreatingcommerciallysuccessfullygamesforAndroidandiOS.Youdon’tneedgamedevelopmentorprogrammingexperience.

·8.2萬字

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Hands-On Unsupervised Learning with Python

Unsupervisedlearningisaboutmakinguseofraw,untaggeddataandapplyinglearningalgorithmstoittohelpamachinepredictitsoutcome.Withthisbook,youwillexploretheconceptofunsupervisedlearningtoclusterlargesetsofdataandanalyzethemrepeatedlyuntilthedesiredoutcomeisfoundusingPython.Thisbookstartswiththekeydifferencesbetweensupervised,unsupervised,andsemi-supervisedlearning.Youwillbeintroducedtothebest-usedlibrariesandframeworksfromthePythonecosystemandaddressunsupervisedlearninginboththemachinelearninganddeeplearningdomains.Youwillexplorevariousalgorithms,techniquesthatareusedtoimplementunsupervisedlearninginreal-worldusecases.Youwilllearnavarietyofunsupervisedlearningapproaches,includingrandomizedoptimization,clustering,featureselectionandtransformation,andinformationtheory.Youwillgethands-onexperiencewithhowneuralnetworkscanbeemployedinunsupervisedscenarios.YouwillalsoexplorethestepsinvolvedinbuildingandtrainingaGANinordertoprocessimages.Bytheendofthisbook,youwillhavelearnedtheartofunsupervisedlearningfordifferentreal-worldchallenges.

·8.6萬字

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Zabbix 4 Network Monitoring

Zabbix4NetworkMonitoringistheperfectstartingpointformonitoringtheperformanceofyournetworkdevicesandapplicationswithZabbix.Evenifyou’veneverusedamonitoringsolutionbefore,thisbookwillgetyouupandrunningquickly.You’lllearntomonitormoresophisticatedoperationswitheaseandsoonfeelincompletecontrolofyournetwork,readytomeetanychallengesyoumightface.Startingwiththeinstallation,youwilldiscoverthenewfeaturesinZabbix4.0.YouwillthengettogripswithnativeZabbixagentsandSimpleNetworkManagementProtocol(SNMP)devices.YouwillalsoexploreZabbix'sintegratedfunctionalityformonitoringJavaapplicationserversandVMware.Thisbookalsocoversnotifications,permissionmanagement,systemmaintenance,andtroubleshooting,soyoucanbeconfidentthateverypotentialchallengeandtaskisunderyourcontrol.Ifyou'reworkingwithlargerenvironments,you'llalsobeabletofindoutmoreaboutdistributeddatacollectionusingZabbixproxies.Onceyou'reconfidentandreadytoputtheseconceptsintopractice,youwillunderstandhowtooptimizeandimproveperformance.TroubleshootingnetworkissuesisvitalforanyoneworkingwithZabbix,sothebookalsohelpsyouworkthroughanytechnicalsnagsandglitchesyoumightface.Bytheendofthisbook,youwillhavelearnedmoreadvancedtechniquestofine-tuneyoursystemandmakesureitisinahealthystate.

·18.5萬字

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Mastering TensorFlow 1.x

Thisbookisfordatascientists,machinelearningengineers,artificialintelligenceengineers,andforallTensorFlowuserswhowishtoupgradetheirTensorFlowknowledgeandworkonvariousmachinelearninganddeeplearningproblems.Ifyouarelookingforaneasy-to-followguidethatunderlinestheintricaciesandcomplexusecasesofmachinelearning,youwillfindthisbookextremelyuseful.SomebasicunderstandingofTensorFlowisrequiredtogetthemostoutofthebook.

·6.9萬字

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Mastering JavaServer Faces 2.2

AhomogenousguideintegratingthefeaturesofJSF2.x(2.0,2.1and2.2),followinga"learningthroughexamples"paradigmwithitsmainfocusontheadvancedconceptsofJSF.IfyouareawebdeveloperwhousesJSF,thisisthebookforyou.Cateringtoanintermediate-advancedaudience,thebookassumesyouhavefundamentalknowledgeofJSF.ItisintendedforthedeveloperwhowantstoimprovetheirskillswiththecombinedpowerofJSF2.0,2.1,and2.2.

·10.4萬字

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Learning Microsoft Cognitive Services

MicrosoftCognitiveServicesisasetofAPIsforaddingintelligencetoyourapplicationandleveragethepowerofAItosolveanybusinessproblemusingthecognitivecapabilities.ThisbookwillbeyourpracticalguidetoworkingwithcognitiveAPIsdevelopedbyMicrosoftandprovidedwiththeAzureplatformtodevelopersandbusinesses.YouwilllearntointegratetheAPIswithyourapplicationsinVisualStudio.Thebookintroducesyoutoabout24APIsincludingEmotion,Language,Vision,Speech,Knowledge,andSearchamongothers.Withtheeasy-to-followexamplesyouwillbeabletodevelopapplicationsforimageprocessing,speechrecognition,textprocession,andsoontoenhancethecapabilityofyourapplicationstoperformmorehuman-liketasks.Goingahead,thebookwillhelpyouworkwiththedatasetsthatenableyourapplicationstoprocessvariousdatainformofimage,videos,andtexts.Bytheendofthebook,youwillgetconfidenttoexploretheCognitiveServicesAPIsforyourapplicationsandmakethemintelligentfordeployinginbusinesses.

·5.9萬字

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Cardboard VR Projects for Android

ThebookisforestablishedAndroiddeveloperswithagoodknowledgelevelofJava.NopriorOpenGLorgraphicsknowledgeisrequired.NopriorexperiencewithGoogleCardboardisexpected,butthosewhoarefamiliarwithCardboardandarelookingforprojectstoexpandtheirknowledgecanalsobenefitfromthisbook.

·8萬字

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Large Scale Machine Learning with Python