下载饿了么外卖平台

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

·9.6萬字

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Direct3D Rendering Cookbook

Thisisapracticalcookbookthatdivesintothevariousmethodsofprogramminggraphicswithafocusongames.Itisaperfectpackageofalltheinnovativeanduptodate3Drenderingtechniquessupportedbynumerousillustrations,strongsamplecode,andconciseexplanations.Direct3DRenderingCookbookisforC#.NETdeveloperswhowanttolearntheadvancedrenderingtechniquesmadepossiblewithDirectX11.2.Itisexpectedthatthereaderhasatleastacursoryknowledgeofgraphicsprogramming,andalthoughsomeknowledgeofDirect3D10+ishelpful,itisnotnecessary.Anunderstandingofvectorandmatrixalgebraisrequired.

·9.1萬字

會員

Hands-On Game Development with WebAssembly

Withinthenextfewyears,WebAssemblywillchangethewebasweknowit.Itpromisesaworldwhereyoucanwriteanapplicationforthewebinanylanguage,andcompileitfornativeplatformsaswellastheweb.ThisbookisdesignedtointroducewebdevelopersandgamedeveloperstotheworldofWebAssemblybywalkingthroughthedevelopmentofaretroarcadegame.YouwilllearnhowtobuildaWebAssemblyapplicationusingC++,Emscripten,JavaScript,WebGL,SDL,andHTML5.Thisbookcoversalotofgroundinbothgamedevelopmentandwebapplicationdevelopment.WhencreatingagameorapplicationthattargetsWebAssembly,developersneedtolearnaplethoraofskillsandtools.Thisbookisasampleplatterofthosetoolsandskills.ItcoverstopicsincludingEmscripten,C/C++,WebGL,OpenGL,JavaScript,HTML5,andCSS.Thereaderwillalsolearnbasictechniquesforgamedevelopment,including2Dspriteanimation,particlesystems,2Dcameradesign,soundeffects,2Dgamephysics,userinterfacedesign,shaders,debugging,andoptimization.Bytheendofthebook,youwillbeabletocreatesimplewebgamesandwebapplicationstargetingWebAssembly.

·12.6萬字

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Applied Unsupervised Learning with R

Startingwiththebasics,AppliedUnsupervisedLearningwithRexplainsclusteringmethods,distributionanalysis,dataencoders,andfeaturesofRthatenableyoutounderstandyourdatabetterandgetanswerstoyourmostpressingbusinessquestions.Thisbookbeginswiththemostimportantandcommonlyusedmethodforunsupervisedlearning-clustering-andexplainsthethreemainclusteringalgorithms-k-means,divisive,andagglomerative.Followingthis,you'llstudymarketbasketanalysis,kerneldensityestimation,principalcomponentanalysis,andanomalydetection.You'llbeintroducedtothesemethodsusingcodewritteninR,withfurtherinstructionsonhowtoworkwith,edit,andimproveRcode.Tohelpyougainapracticalunderstanding,thebookalsofeaturesusefultipsonapplyingthesemethodstorealbusinessproblems,includingmarketsegmentationandfrauddetection.Byworkingthroughinterestingactivities,you'llexploredataencodersandlatentvariablemodels.Bytheendofthisbook,youwillhaveabetterunderstandingofdifferentanomalydetectionmethods,suchasoutlierdetection,Mahalanobisdistances,andcontextualandcollectiveanomalydetection.

·3.9萬字

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Machine Learning for Finance

MachineLearningforFinanceexploresnewadvancesinmachinelearningandshowshowtheycanbeappliedacrossthefinancialsector,includingininsurance,transactions,andlending.ItexplainstheconceptsandalgorithmsbehindthemainmachinelearningtechniquesandprovidesexamplePythoncodeforimplementingthemodelsyourself.ThebookisbasedonJannesKlaas’experienceofrunningmachinelearningtrainingcoursesforfinancialprofessionals.Ratherthanprovidingready-madefinancialalgorithms,thebookfocusesontheadvancedMLconceptsandideasthatcanbeappliedinawidevarietyofways.Thebookshowshowmachinelearningworksonstructureddata,text,images,andtimeseries.Itincludescoverageofgenerativeadversariallearning,reinforcementlearning,debugging,andlaunchingmachinelearningproducts.ItdiscusseshowtofightbiasinmachinelearningandendswithanexplorationofBayesianinferenceandprobabilisticprogramming.

·11.6萬字

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Blender 2.6 Cycles：Materials and Textures Cookbook

Writteninafriendly,practicalstylethisCookbookdeep-divesintoawide-arrayoftechniquesusedtocreaterealisticmaterialsandtextures.ThisbookisperfectforyouifyouhaveusedBlenderbeforebutarenewtotheimpressiveCyclesrenderer.YoushouldhavesomeknowledgeoftheBlenderinterface,thoughthisisnotastrictrequirement.Ifyouwanttocreaterealistic,stunningmaterialsandtexturesusingCycles,thenthisbookisforyou!

·6.6萬字

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Lumion 3D Cookbook

Thisbookoffersusespracticalapplicationsusingrecipeswithstep-by-stepinstructionsandusefulinformationtohelpyoumasterhowtoproduceprofessionalarchitecturalvisualizationsinLumion.Thecookbookapproachmeansyouneedtothinkandexplorehowaparticularfeaturecanbeappliedinyourprojectandperformtheintendedtask.ThisbookiswrittentobeaccessibletoallLumionusersandisausefulguidetofollowwhenbecomingfamiliarwiththiscutting-edgereal-timetechnology.ThispracticalguideisdesignedforalllevelsofLumionuserswhoknowhowtomodelbuildingsin3DandabasicunderstandingofLumion,whowanttoenhancetheirskillstothenextlevel.

·6.2萬字

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Machine Learning Solutions

Thisbookisfortheintermediateuserssuchasmachinelearningengineers,dataengineers,datascientists,andmore,whowanttosolvesimpletocomplexmachinelearningproblemsintheirday-to-dayworkandbuildpowerfulandefficientmachinelearningmodels.AbasicunderstandingofthemachinelearningconceptsandsomeexperiencewithPythonprogrammingisallyouneedtogetstartedwiththisbook.

·10.4萬字

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Large Scale Machine Learning with Python

Thisbookisforanyonewhointendstoworkwithlargeandcomplexdatasets.FamiliaritywithbasicPythonandmachinelearningconceptsisrecommended.Workingknowledgeinstatisticsandcomputationalmathematicswouldalsobehelpful.

·9.5萬字

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Internet of Things Projects with ESP32

ESP32isalow-costMCUwithintegratedWi-FiandBLE.Variousmodulesanddevelopmentboards-basedonESP32areavailableforbuildingIoTapplicationseasily.Wi-FiandBLEareacommonnetworkstackintheInternetofThingsapplication.Thesenetworkmodulescanleverageyourbusinessandprojectsneedsforcost-effectivebenefits.ThisbookwillserveasafundamentalguidefordevelopinganESP32program.WewillstartwithGPIOprogramminginvolvingsomesensordevices.ThenwewillstudyESP32developmentbybuildinganumberofIoTprojects,suchasweatherstations,sensorloggers,smarthomes,Wi-FicamsandWi-Fiwardriving.Lastly,wewillenableESP32boardstoexecuteinteractionswithmobileapplicationsandcloudserverssuchasAWS.Bytheendofthisbook,youwillbeupandrunningwithvariousIoTproject-basedESP32chip.

·3.3萬字

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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 Machine Learning Workshop

Machinelearningalgorithmsareanintegralpartofalmostallmodernapplications.Tomakethelearningprocessfasterandmoreaccurate,youneedatoolflexibleandpowerfulenoughtohelpyoubuildmachinelearningalgorithmsquicklyandeasily.WithTheMachineLearningWorkshop,you'llmasterthescikit-learnlibraryandbecomeproficientindevelopingclevermachinelearningalgorithms.TheMachineLearningWorkshopbeginsbydemonstratinghowunsupervisedandsupervisedlearningalgorithmsworkbyanalyzingareal-worlddatasetofwholesalecustomers.Onceyou'vegottogripswiththebasics,you’lldevelopanartificialneuralnetworkusingscikit-learnandthenimproveitsperformancebyfine-tuninghyperparameters.Towardstheendoftheworkshop,you'llstudythedatasetofabank'smarketingactivitiesandbuildmachinelearningmodelsthatcanlistclientswhoarelikelytosubscribetoatermdeposit.You'llalsolearnhowtocomparethesemodelsandselecttheoptimalone.BytheendofTheMachineLearningWorkshop,you'llnotonlyhavelearnedthedifferencebetweensupervisedandunsupervisedmodelsandtheirapplicationsintherealworld,butyou'llalsohavedevelopedtheskillsrequiredtogetstartedwithprogrammingyourveryownmachinelearningalgorithms.

·6萬字

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User Experience Mapping

ThisbookisforProductManager,ServiceManagersandDesignerswhoarekeenonlearningtheuserexperiencemappingtechniques.

·8.2萬字

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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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Learning Cocos2d-x Game Development

Ifyouareahobbyist,novicegamedeveloper,orprogrammerwhowantstolearnaboutdevelopinggames/appsusingCocos2d-x,thisbookisidealforyou.

·5.3萬字

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R Graphs Cookbook Second Edition

TargetedatthosewithanexistingfamiliaritywithRprogramming,thispracticalguidewillappealdirectlytoprogrammersinterestedinlearningeffectivedatavisualizationtechniqueswithRandawide-rangeofitsassociatedlibraries.

·5.8萬字

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TensorFlow 1.x Deep Learning Cookbook

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

·9.1萬字

會員

Svelte 3 Up and Running

SvelteisamodernJavaScriptframeworkusedtobuildstaticwebappsthatarefastandlean,aswellasbeingfunfordeveloperstouse.ThisbookisaconciseandpracticalintroductionforthosewhoarenewtotheSvelteframeworkwhichwillhaveyouuptospeedwithbuildingappsquickly,andteachyouhowtouseSvelte3tobuildappsthatofferagreatappuserexperience(UX).ThebookstartswithanintroductiontoSvelte3,beforeshowingyouhowtosetupyourfirstcompleteapplicationwiththeframework.Filledwithcodesamples,eachchapterwillshowyouhowtowritecomponentsusingtheSveltetemplatesyntaxandtheapplicationprogramminginterfaces(APIs)oftheSvelteframework.Asyouadvance,you’llgofromscaffoldingyourprojectandtoolsetupallthewaythroughtoproductionwithDevOpsprinciplessuchasautomatedtesting,continuousintegration,andcontinuousdelivery(CI/CD).Finally,you’lldeployyourapplicationinthecloudwithobjectstorageservicesandacontentdeliverynetwork(CDN)forbest-in-classperformanceforyourusers.Bytheendofthisbook,you’llhavelearnedhowtobuildanddeployappsusingSvelte3tosolvereal-worldproblemsanddeliverimpressiveresults.

·3.6萬字

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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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Rapid BeagleBoard Prototyping with MATLAB and Simulink

Thisbookisafast-pacedguidewithpractical,hands-onrecipeswhichwillshowyouhowtoprototypeBeagleboard-basedaudio/videoapplicationsusingMatlab/SimlinkandSourceryCodebenchonaWindowshost.BeagleboardEmbeddedProjectsisgreatforstudentsandacademicresearcherswhohavepracticalideasandwhowanttobuildaproof-of-conceptsystemonanembeddedhardwareplatformquicklyandefficiently.Itisalsousefulforproductdesignengineerswhowanttoratifytheirapplicationsandreducethetime-to-market.ItisassumedthatyouarefamiliarwithMatlab/Simulinkandhavesomebasicknowledgeofcomputerhardware.ExperienceinLinuxisfavouredbutnotnecessary,asoursoftwaredevelopmentispurelyonaWindowshost.

·3.5萬字

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

Direct3D Rendering Cookbook

Hands-On Game Development with WebAssembly

Applied Unsupervised Learning with R

Machine Learning for Finance

Blender 2.6 Cycles：Materials and Textures Cookbook

Lumion 3D Cookbook

Machine Learning Solutions

Large Scale Machine Learning with Python

Internet of Things Projects with ESP32

Applied Supervised Learning with R

The Machine Learning Workshop

User Experience Mapping

The Deep Learning with PyTorch Workshop

Learning Cocos2d-x Game Development

R Graphs Cookbook Second Edition

TensorFlow 1.x Deep Learning Cookbook

Svelte 3 Up and Running

Mastering Machine Learning on AWS

Rapid BeagleBoard Prototyping with MATLAB and Simulink