江西省周边有捕鱼机卖吗

ThisbookisforthosewhowanttolearnhowtobuildexcitingArduinoprojectsbyinterfacingitwithAndroid.Youwillneedtohavesomebasicexperienceinelectronicsandprogramming.However,youdon'tneedtohaveanypreviousexperiencewiththeArduinoorAndroidplatforms.

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Salesforce CRM：The Definitive Admin Handbook（Second Edition）

ApracticalguidewhichwillhelptodiscoverhowtosetupandconfiguretheSalesforceCRMapplication.Itofferssolutionsandpracticalexamplesonhowtofurtherimproveandmaintainitsfunctionalitywithclearsystematicinstructions.Beinghighlyorganizedandcompact,thisbookcontainsdetailedinstructionswithscreenshots,diagrams,andtipsthatclearlydescribehowyoucanadministerandconfigurecomplexSalesforceCRMfunctionalitywithabsoluteease.ThisbookisforadministratorswhowanttodevelopandstrengthentheirSalesforceCRMskillsintheareasofconfigurationandsystemmanagement.Whetheryouareanoviceoramoreexperiencedadmin,thisbookaimstoenhanceyourknowledgeandunderstandingoftheSalesforceCRMplatformandbytheendofthebook,youshouldbereadytoadministerSalesforceCRMinareal-worldenvironment.

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Applied Deep Learning with Keras

Thoughdesigningneuralnetworksisasought-afterskill,itisnoteasytomaster.WithKeras,youcanapplycomplexmachinelearningalgorithmswithminimumcode.AppliedDeepLearningwithKerasstartsbytakingyouthroughthebasicsofmachinelearningandPythonallthewaytogaininganin-depthunderstandingofapplyingKerastodevelopefficientdeeplearningsolutions.Tohelpyougraspthedifferencebetweenmachineanddeeplearning,thebookguidesyouonhowtobuildalogisticregressionmodel,firstwithscikit-learnandthenwithKeras.YouwilldelveintoKerasanditsmanymodelsbycreatingpredictionmodelsforvariousreal-worldscenarios,suchasdiseasepredictionandcustomerchurning.You’llgainknowledgeonhowtoevaluate,optimize,andimproveyourmodelstoachievemaximuminformation.Next,you’lllearntoevaluateyourmodelbycross-validatingitusingKerasWrapperandscikit-learn.Followingthis,you’llproceedtounderstandhowtoapplyL1,L2,anddropoutregularizationtechniquestoimprovetheaccuracyofyourmodel.Tohelpmaintainaccuracy,you’llgettogripswithapplyingtechniquesincludingnullaccuracy,precision,andAUC-ROCscoretechniquesforfinetuningyourmodel.Bytheendofthisbook,youwillhavetheskillsyouneedtouseKeraswhenbuildinghigh-leveldeepneuralnetworks.

·7.6萬字

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Hands-On Markov Models with Python

HiddenMarkovModel(HMM)isastatisticalmodelbasedontheMarkovchainconcept.Hands-OnMarkovModelswithPythonhelpsyougettogripswithHMMsanddifferentinferencealgorithmsbyworkingonreal-worldproblems.Thehands-onexamplesexploredinthebookhelpyousimplifytheprocessflowinmachinelearningbyusingMarkovmodelconcepts,therebymakingitaccessibletoeveryone.Onceyou’vecoveredthebasicconceptsofMarkovchains,you’llgetinsightsintoMarkovprocesses,models,andtypeswiththehelpofpracticalexamples.Aftergraspingthesefundamentals,you’llmoveontolearningaboutthedifferentalgorithmsusedininferencesandapplyingtheminstateandparameterinference.Inadditiontothis,you’llexploretheBayesianapproachofinferenceandlearnhowtoapplyitinHMMs.Infurtherchapters,you’lldiscoverhowtouseHMMsintimeseriesanalysisandnaturallanguageprocessing(NLP)usingPython.You’llalsolearntoapplyHMMtoimageprocessingusing2D-HMMtosegmentimages.Finally,you’llunderstandhowtoapplyHMMforreinforcementlearning(RL)withthehelpofQ-Learning,andusethistechniqueforsingle-stockandmulti-stockalgorithmictrading.Bytheendofthisbook,youwillhavegraspedhowtobuildyourownMarkovandhiddenMarkovmodelsoncomplexdatasetsinordertoapplythemtoprojects.

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The Deep Learning with Keras Workshop

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Practical Artificial Intelligence and Blockchain

AIandblockchainaretwoemergingtechnologiescatalyzingthepaceofenterpriseinnovation.Withthisbook,you’llunderstandbothtechnologiesandconvergethemtosolvereal-worldchallenges.ThisAIblockchainbookisdividedintothreesections.Thefirstsectioncoversthefundamentalsofblockchain,AI,andaffiliatedtechnologies,whereyou’lllearntodifferentiatebetweenthevariousimplementationsofblockchainsandAIwiththehelpofexamples.Thesecondsectiontakesyouthroughdomain-specificapplicationsofAIandblockchain.You’llunderstandthebasicsofdecentralizeddatabasesandfilesystemsandconnectthedotsbetweenAIandblockchainbeforeexploringproductsandsolutionsthatusethemtogether.You’llthendiscoverapplicationsofAItechniquesincryptotrading.Inthethirdsection,you’llbeintroducedtotheDIAppdesignpatternandcompareitwiththeDAppdesignpattern.ThebookalsohighlightsuniqueaspectsofSDLC(softwaredevelopmentlifecycle)whenbuildingaDIApp,showsyouhowtoimplementasamplecontacttracingapplication,anddelvesintothefutureofAIwithblockchain.Bytheendofthisbook,you’llhavedevelopedtheskillsyouneedtoconvergeAIandblockchaintechnologiestobuildsmartsolutionsusingtheDIAppdesignpattern.

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Creating Dynamic UI with Android Fragments

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Wireframing Essentials

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·2.6萬字

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The Complete Guide to DAZ Studio 4

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Fixing Bad UX Designs

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Manage Partitions with GParted How-to

Thisbookisapractical,task-based,step-by-steptutorialthatstartssimplewithidentifyingdiskdevicepartitions,andculminateswithadvancedtaskssuchaspreparingfornewoperatingsystems.Areyouacomputerenthusiastwhoislookingforwardtolearnhowtoeffectivelyuseyourdiskspacethroughdiskpartitionstomaximizeyourcomputer'spotential?Thenthisbookisforyou.

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Windows phone 7.5 application development with F#

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Source SDK Game Development Essentials

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Mastering Adobe Photoshop Elements 2020

Anexample-drivenguidetotakeyourimageeditingskillsfrombeginnertoadvancedusingpowerfulPhotoshopElementstoolsandtechniquesintandemwithAdobe’slatestAItechnologyKeyFeatures*UpdatedtothelatestversionofPhotoshopElements2020withfocusedcoverageonAdobe’slatestAItechnology*Organize,search,andkeeptrackofanever-increasingnumberofimagesandvideosusingexpertpractices*Discovercommonsolutionstoawiderangeofphotographicandimage-editingproblemsBookDescriptionAdobePhotoshopElementsisarastergraphicseditorforentry-levelphotographers,imageeditors,andhobbyists.UpdatedandimprovedtocoverthelatestfeaturesofPhotoshopElements2020,thissecondeditionincludesfocusedcoverageofAdobe'snewAI-poweredfeaturesthataredesignedtomaketheeditingprocessmoreefficient,creativeandfun.Thisbooktakesyouthroughthecomplexitiesofimageeditingineasy-to-follow,bite-sizedchunks,helpingyoutoquicklyrecognizetheeditingchallengeathandandusesuitabletoolsandtechniquestoovercomeit.You’llstartbylearninghowtoimport,organize,manage,edit,anduseyourpicturesinaformatthat’sdesignedforcreativephotographyprojects.ThroughoutthisAdobePhotoshopElementsbook,you'lldiscoverhowtofixdifferentphotographicproblemsusinganextensiverepertoireofcommonlyappliedsolutions.Commonprocessessuchasapplyingartisticeffectstocreativeprojects,customimagemakeovers,processingimagesforsocialmedia,andotherfileexportmethodswillalsobecovered.Bytheendofthisbook,you’llhavelearnedabouttheimpressivetoolsavailableinPhotoshopElements2020,andhowitisdesignednotonlyforphotographerswho’dliketodiptheirtoesintotheeditingworld,butalsoforthosewantingsimplebuteffectiveideasonhowtoexpandtheircreativitywhileremainingtime-efficient.Whatyouwilllearn*ExploretheautomaticAI-poweredfeaturesdesignedtomaketheeditingprocessfasterandmoreefficient*Addgraphicelementstoanycomposition,photograph,orillustration*Overcomechallengesineditingmulti-layeredimagesforyourphotographyprojects*DevelopillustrativeskillsusingPhotoshopElements'drawingtools*Learntechniquesforprofessionalphotoretouching*Workwithonlineandlocaltemplatestocreatecalendars,greetingcards,andotherprojectsWhothisbookisforThisbookisforcreativeandenthusiasticphotographerswithelementaryexperienceinphotoediting.Ifyouarelookingtoorganizeyourpicturecollectionandtakecontrolofpost-processingrequirements,you’llfindthisbookuseful.Thoughnotnecessary,photographyskillsalongsidebasicphotoeditingknowledgewillhelpyoutogetthemostoutofthisbook.

·10.6萬字

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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.

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Machine Learning with Go Quick Start Guide

Machinelearningisanessentialpartoftoday'sdata-drivenworldandisextensivelyusedacrossindustries,includingfinancialforecasting,robotics,andwebtechnology.ThisbookwillteachyouhowtoefficientlydevelopmachinelearningapplicationsinGo.Thebookstartswithanintroductiontomachinelearninganditsdevelopmentprocess,explainingthetypesofproblemsthatitaimstosolveandthesolutionsitoffers.ItthencoverssettingupafrictionlessGodevelopmentenvironment,includingrunningGointeractivelywithJupyternotebooks.Finally,commondataprocessingtechniquesareintroduced.Thebookthenteachesthereaderaboutsupervisedandunsupervisedlearningtechniquesthroughworkedexamplesthatincludetheimplementationofevaluationmetrics.Theseworkedexamplesmakeuseoftheprominentopen-sourcelibrariesGoMLandGonum.Thebookalsoteachesreadershowtoloadapre-trainedmodelanduseittomakepredictions.Itthenmovesontotheoperationalsideofrunningmachinelearningapplications:deployment,ContinuousIntegration,andhelpfuladviceforeffectiveloggingandmonitoring.Attheendofthebook,readerswilllearnhowtosetupamachinelearningprojectforsuccess,formulatingrealisticsuccesscriteriaandaccuratelytranslatingbusinessrequirementsintotechnicalones.

·3.8萬字

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Learn Human：Computer Interaction

Human-ComputerInteraction(HCI)isafieldofstudythatresearches,designs,anddevelopssoftwaresolutionsthatsolvehumanproblems.Thisbookwillhelpyouunderstandvariousaspectsofthesoftwaredevelopmentphase,fromplanninganddatagatheringthroughtothedesignanddevelopmentofsoftwaresolutions.Thebookguidesyouthroughimplementingmethodologiesthatwillhelpyoubuildrobustsoftware.Youwillperformdatagathering,evaluateuserdata,andexecutedataanalysisandinterpretationtechniques.You’llalsounderstandwhyhuman-centeredmethodologiesaresuccessfulinsoftwaredevelopment,andlearnhowtobuildeffectivesoftwaresolutionsthroughpracticalresearchprocesses.Thebookwillevenshowyouhowtotranslateyourhumanunderstandingintosoftwaresolutionsthroughvalidationmethodsandrapidprototypingleadingtousabilitytesting.Later,youwillunderstandhowtouseeffectivestorytellingtoconveythekeyaspectsofyoursoftwaretousers.Throughoutthebook,youwilllearnthekeyconceptswiththehelpofhistoricalfigures,bestpractices,andreferencestocommonchallengesfacedinthesoftwareindustry.Bytheendofthisbook,youwillbewell-versedwithHCIstrategiesandmethodologiestodesigneffectiveuserinterfaces.

·8.6萬字

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Mastering Manga Studio 5

MasteringMangaStudio5willfollowanexplanatory,workthroughmanualapproach.ThemainfeaturesofMangawillbepresentedineachsectionalongwithexcitingtips,vitaltechniquesandimpressiveworkflows.ThisbookisforthosewhoalreadyhavesomeMangaStudioandgraphicsprogramexperience.Itisnotabeginner'sguide,butifyouareanoviceMangaStudio5useritwillhelpyoutomasterthetime-savingfeaturesofthesoftware.

·5.8萬字

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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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Raspberry Pi Computer Architecture Essentials

RaspberryPiComputerArchitectureEssentialsisforthosewhoarenewandthosewhoarefamiliarwiththeRaspberryPi.EachtopicbuildsuponearlieronestoprovideyouwithaguidetoRaspberryPi’sarchitecture.Fromthenovicetotheexpert,thereissomethingforeveryone.AbasicknowledgeofprogrammingandLinuxwouldbehelpfulbutisnotrequired.

·5.4萬字

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Arduino Android Blueprints

Salesforce CRM：The Definitive Admin Handbook（Second Edition）

Applied Deep Learning with Keras

Hands-On Markov Models with Python

The Deep Learning with Keras Workshop

Practical Artificial Intelligence and Blockchain

Creating Dynamic UI with Android Fragments

Wireframing Essentials

The Complete Guide to DAZ Studio 4

Fixing Bad UX Designs

Manage Partitions with GParted How-to

Windows phone 7.5 application development with F#

Source SDK Game Development Essentials

Mastering Adobe Photoshop Elements 2020

R Deep Learning Essentials

Machine Learning with Go Quick Start Guide

Learn Human：Computer Interaction

Mastering Manga Studio 5

Hands-On Convolutional Neural Networks with TensorFlow

Raspberry Pi Computer Architecture Essentials