不朽情缘大奖

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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OpenCV 4 Computer Vision Application Programming Cookbook（Fourth Edition）

OpenCVisanimageandvideoprocessinglibraryusedforalltypesofimageandvideoanalysis.Throughoutthebook,you'llworkthroughrecipesthatimplementavarietyoftasks,suchasfacialrecognitionanddetection.With70self-containedtutorials,thisbookexaminescommonpainpointsandbestpracticesforcomputervision(CV)developers.Eachrecipeaddressesaspecificproblemandoffersaproven,best-practicesolutionwithinsightsintohowitworks,sothatyoucancopythecodeandconfigurationfilesandmodifythemtosuityourneeds.ThisbookbeginsbysettingupOpenCV,andexplainshowtomanipulatepixels.You'llunderstandhowyoucanprocessimageswithclassesandcountpixelswithhistograms.You'llalsolearndetecting,describing,andmatchinginterestpoints.Asyouadvancethroughthechapters,you'llgettogripswithestimatingprojectiverelationsinimages,reconstructing3Dscenes,processingvideosequences,andtrackingvisualmotion.Inthefinalchapters,you'llcoverdeeplearningconceptssuchasfaceandobjectdetection.Bytheendofthebook,you'llbeabletoconfidentlyimplementarangetocomputervisionalgorithmstomeetthetechnicalrequirementsofyourcomplexCVprojects

·10.5萬字

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C++ Game Development By Example

Althoughnumerouslanguagesarecurrentlybeingusedtodevelopgames,C++remainsthestandardforfabricatingexpertlibrariesandtoolchainsforgamedevelopment.ThisbookintroducesyoutotheworldofgamedevelopmentwithC++.C++GameDevelopmentByExamplestartsbytouchinguponthebasicconceptsofmath,programming,andcomputergraphicsandcreatingasimpleside-scrollingaction2Dgame.You'llbuildasolidfoundationbystudyingbasicgameconceptssuchascreatinggameloops,rendering2DgamescenesusingSFML,2Dspritecreationandanimation,andcollisiondetection.Thebookwillhelpyouadvancetocreatinga3DphysicspuzzlegameusingmodernOpenGLandtheBulletphysicsengine.You'llunderstandthegraphicspipeline,whichentailscreating3Dobjectsusingvertexandindexbuffersandrenderingthemtothesceneusingvertexandfragmentshaders.Finally,you'llcreateabasicprojectusingtheVulkanlibrarythat'llhelpyougettogripswithcreatingswapchains,imageviews,renderpasses,andframebuffersforbuildinghigh-performancegraphicsinyourgames.Bytheendofthisbook,you’llbereadywith3compellingprojectscreatedwithSFML,theVulkanAPI,andOpenGL,andyou'llbeabletakeyourgameandgraphicsprogrammingskillstothenextlevel.

·7.1萬字

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MicroPython Cookbook

MicroPythonisanopensourceimplementationofPython3thatrunsinembeddedenvironments.WithMicroPython,youcanwritecleanandsimplePythoncodetocontrolhardwareinsteadofusingcomplexlow-levellanguageslikeCandC++.ThisbookguidesyouthroughallthemajorapplicationsoftheMicroPythonplatformtobuildandprogramprojectsthatusemicrocontrollers.TheMicroPythonbookcoversrecipesthat’llhelpyouexperimentwiththeprogrammingenvironmentandhardwareprogrammedinMicroPython.You’llfindtipsandtechniquesforbuildingavarietyofobjectsandprototypesthatcansenseandrespondtotouch,sound,position,heat,andlight.ThisbookwilltakeyouthroughtheusesofMicroPythonwithavarietyofpopularinputdevicesandsensors.You’lllearntechniquesforhandlingtimedelaysandsensorreadings,andapplyadvancedcodingtechniquestocreatecomplexprojects.Asyouadvance,you’llgettodealwithInternetofThings(IoT)devicesandintegrationwithotheronlinewebservices.Furthermore,you'llalsouseMicroPythontomakemusicwithbananasandcreateportablemultiplayervideogamesthatincorporatesoundandlightanimationsintothegameplay.Bytheendofthebook,you'llhavemasteredtipsandtrickstotroubleshootyourdevelopmentproblemsandpushyourMicroPythonprojecttothenextlevel!

·8.4萬字

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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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Mastering Delphi Programming：A Complete Reference Guide

Delphiisacross-platformIntegratedDevelopmentEnvironment(IDE)thatsupportsrapidapplicationdevelopmentformostoperatingsystems,includingMicrosoftWindows,iOS,andnowLinuxwithRADStudio10.2.IfyouknowhowtousethefeaturesofDelphi,youcaneasilycreatescalableapplicationsinnotime.ThisLearningPathbeginsbyexplaininghowtofindperformancebottlenecksandapplythecorrectalgorithmtofixthem.You'llbrushupontricks,techniques,andbestpracticestosolvecommondesignandarchitecturalchallenges.Then,you'llseehowtoleverageexternallibrariestowritebetter-performingprograms.You'llalsolearnabouttheeightmostimportantpatternsthat'llenableyoutodevelopandimprovetheinterfacebetweenitemsandharmonizesharedmemorieswithinthreads.Asyouprogress,you'llalsodelveintoimprovingtheperformanceofyourcodeandmasteringcross-platformRTLimprovements.BytheendofthisLearningPath,you'llbeabletoaddresscommondesignproblemsandfeelconfidentwhilebuildingscalableprojects.ThisLearningPathincludescontentfromthefollowingPacktproducts:DelphiHighPerformancebyPrimo?Gabrijel?i?.Hands-OnDesignPatternswithDelphibyPrimo?Gabrijel?i?.

·16.1萬字

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Hands-On Python Deep Learning for the Web

Whenusedeffectively,deeplearningtechniquescanhelpyoudevelopintelligentwebapps.Inthisbook,you'llcoverthelatesttoolsandtechnologicalpracticesthatarebeingusedtoimplementdeeplearninginwebdevelopmentusingPython.Startingwiththefundamentalsofmachinelearning,you'llfocusonDLandthebasicsofneuralnetworks,includingcommonvariantssuchasconvolutionalneuralnetworks(CNNs).You'lllearnhowtointegratethemintowebsiteswiththefrontendsofdifferentstandardwebtechstacks.Thebookthenhelpsyougainpracticalexperienceofdevelopingadeeplearning-enabledwebappusingPythonlibrariessuchasDjangoandFlaskbycreatingRESTfulAPIsforcustommodels.Later,you'llexplorehowtosetupacloudenvironmentfordeeplearning-basedwebdeploymentsonGoogleCloudandAmazonWebServices(AWS).Next,you'lllearnhowtouseMicrosoft'sintelligentEmotionAPI,whichcandetectaperson'semotionsthroughapictureoftheirface.You'llalsogettogripswithdeployingreal-worldwebsites,inadditiontolearninghowtosecurewebsitesusingreCAPTCHAandCloudflare.Finally,you'lluseNLPtointegrateavoiceUXthroughDialogflowonyourwebpages.Bytheendofthisbook,you'llhavelearnedhowtodeployintelligentwebappsandwebsiteswiththehelpofeffectivetoolsandpractices.

·8萬字

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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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The Applied Artificial Intelligence Workshop

Youalreadyknowthatartificialintelligence(AI)andmachinelearning(ML)arepresentinmanyofthetoolsyouuseinyourdailyroutine.ButdoyouwanttobeabletocreateyourownAIandMLmodelsanddevelopyourskillsinthesedomainstokickstartyourAIcareer?TheAppliedArtificialIntelligenceWorkshopgetsyoustartedwithapplyingAIwiththehelpofpracticalexercisesandusefulexamples,allputtogethercleverlytohelpyougaintheskillstotransformyourcareer.Thebookbeginsbyteachingyouhowtopredictoutcomesusingregression.You’llthenlearnhowtoclassifydatausingtechniquessuchask-nearestneighbor(KNN)andsupportvectormachine(SVM)classifiers.Asyouprogress,you'llexplorevariousdecisiontreesbylearninghowtobuildareliabledecisiontreemodelthatcanhelpyourcompanyfindcarsthatclientsarelikelytobuy.Thefinalchapterswillintroduceyoutodeeplearningandneuralnetworks.Throughvariousactivities,suchaspredictingstockpricesandrecognizinghandwrittendigits,you'lllearnhowtotrainandimplementconvolutionalneuralnetworks(CNNs)andrecurrentneuralnetworks(RNNs).BytheendofthisappliedAIbook,you'llhavelearnedhowtopredictoutcomesandtrainneuralnetworksandbeabletousevarioustechniquestodevelopAIandMLmodels.

·8.4萬字

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The Deep Learning with Keras Workshop

Newexperiencescanbeintimidating,butnotthisone!Thisbeginner’sguidetodeeplearningisheretohelpyouexploredeeplearningfromscratchwithKeras,andbeonyourwaytotrainingyourfirsteverneuralnetworks.WhatsetsKerasapartfromotherdeeplearningframeworksisitssimplicity.Withovertwohundredthousandusers,Kerashasastrongeradoptioninindustryandtheresearchcommunitythananyotherdeeplearningframework.TheDeepLearningwithKerasWorkshopstartsbyintroducingyoutothefundamentalconceptsofmachinelearningusingthescikit-learnpackage.Afterlearninghowtoperformthelineartransformationsthatarenecessaryforbuildingneuralnetworks,you'llbuildyourfirstneuralnetworkwiththeKeraslibrary.Asyouadvance,you'lllearnhowtobuildmulti-layerneuralnetworksandrecognizewhenyourmodelisunderfittingoroverfittingtothetrainingdata.Withthehelpofpracticalexercises,you’lllearntousecross-validationtechniquestoevaluateyourmodelsandthenchoosetheoptimalhyperparameterstofine-tunetheirperformance.Finally,you’llexplorerecurrentneuralnetworksandlearnhowtotrainthemtopredictvaluesinsequentialdata.Bytheendofthisbook,you'llhavedevelopedtheskillsyouneedtoconfidentlytrainyourownneuralnetworkmodels.

·10.1萬字

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