超声波捕鱼机器一体机

Withtheemergenceofbigdataandmoderntechnologies,AIhasacquiredalotofrelevanceinmanydomains.TheincreaseindemandforautomationhasgeneratedmanyapplicationsforAIinfieldssuchasrobotics,predictiveanalytics,finance,andmore.Inthisbook,youwillunderstandwhatartificialintelligenceis.Itexplainsindetailbasicsearchmethods:Depth-FirstSearch(DFS),Breadth-FirstSearch(BFS),andA*Search,whichcanbeusedtomakeintelligentdecisionswhentheinitialstate,endstate,andpossibleactionsareknown.Randomsolutionsorgreedysolutionscanbefoundforsuchproblems.Butthesearenotoptimalineitherspaceortimeandefficientapproachesintimeandspacewillbeexplored.Wewillalsounderstandhowtoformulateaproblem,whichinvolveslookingatitandidentifyingitsinitialstate,goalstate,andtheactionsthatarepossibleineachstate.Wealsoneedtounderstandthedatastructuresinvolvedwhileimplementingthesesearchalgorithmsastheyformthebasisofsearchexploration.Finally,wewilllookintowhataheuristicisasthisdecidesthequalityofonesub-solutionoveranotherandhelpsyoudecidewhichsteptotake.

·2萬(wàn)字

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Mastering Text Mining with R

Mastertext-tamingtechniquesandbuildeffectivetext-processingapplicationswithRAboutThisBook?Developalltherelevantskillsforbuildingtext-miningappswithRwiththiseasy-to-followguide?Gainin-depthunderstandingofthetextminingprocesswithlucidimplementationintheRlanguage?Example-richguidethatletsyougainhigh-qualityinformationfromtextdataWhoThisBookIsForIfyouareanRprogrammer,analyst,ordatascientistwhowantstogainexperienceinperformingtextdataminingandanalyticswithR,thenthisbookisforyou.Exposuretoworkingwithstatisticalmethodsandlanguageprocessingwouldbehelpful.WhatYouWillLearn?GetacquaintedwithsomeofthehighlyefficientRpackagessuchasOpenNLPandRWekatoperformvariousstepsinthetextminingprocess?AccessandmanipulatedatafromdifferentsourcessuchasJSONandHTTP?Processtextusingregularexpressions?Gettoknowthedifferentapproachesoftaggingtexts,suchasPOStagging,togetstartedwithtextanalysis?Exploredifferentdimensionalityreductiontechniques,suchasPrincipalComponentAnalysis(PCA),andunderstanditsimplementationinR?Discovertheunderlyingthemesortopicsthatarepresentinanunstructuredcollectionofdocuments,usingcommontopicmodelssuchasLatentDirichletAllocation(LDA)?Buildabaselinesentencecompletingapplication?PerformentityextractionandnamedentityrecognitionusingRInDetailTextMining(ortextdataminingortextanalytics)istheprocessofextractingusefulandhigh-qualityinformationfromtextbydevisingpatternsandtrends.Rprovidesanextensiveecosystemtominetextthroughitsmanyframeworksandpackages.Startingwithbasicinformationaboutthestatisticsconceptsusedintextmining,thisbookwillteachyouhowtoaccess,cleanse,andprocesstextusingtheRlanguageandwillequipyouwiththetoolsandtheassociatedknowledgeaboutdifferenttagging,chunking,andentailmentapproachesandtheirusageinnaturallanguageprocessing.Movingon,thisbookwillteachyoudifferentdimensionalityreductiontechniquesandtheirimplementationinR.Next,wewillcoverpatternrecognitionintextdatautilizingclassificationmechanisms,performentityrecognition,anddevelopanontologylearningframework.Bytheendofthebook,youwilldevelopapracticalapplicationfromtheconceptslearned,andwillunderstandhowtextminingcanbeleveragedtoanalyzethemassivelyavailabledataonsocialmedia.StyleandapproachThisbooktakesahands-on,example-drivenapproachtothetextminingprocesswithlucidimplementationinR.

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Cloud Native Development Patterns and Best Practices

Thisbookisfordeveloperswhowouldliketoprogressintobuildingcloud-nativesystemsandarekeentolearnthepatternsinvolved.Basicknowledgeofprogrammingandcloudcomputingisrequired.

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Drupal 7 Multi Sites Configuration

Followthecreationofamulti-siteinstancewithDrupal.ThepracticalexamplesandaccompanyingscreenshotswillhelpyoutogetmultipleDrupalsitessetupinnotime.ThisbookisforDrupalsitebuilders.ItisassumedthatreadersarefamiliarwithDrupalalready,withabasicgraspofitsconceptsandcomponents.Systemadministrationconcepts,suchasconfiguringApache,MySQL,andVagrantarecoveredbutnopreviousknowledgeofthesetoolsisrequired.

·2.5萬(wàn)字

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Machine Learning with Scala Quick Start Guide

Scalaisahighlyscalableintegrationofobject-orientednatureandfunctionalprogrammingconceptsthatmakeiteasytobuildscalableandcomplexbigdataapplications.ThisbookisahandyguideformachinelearningdevelopersanddatascientistswhowanttodevelopandtraineffectivemachinelearningmodelsinScala.Thebookstartswithanintroductiontomachinelearning,whilecoveringdeeplearningandmachinelearningbasics.ItthenexplainshowtouseScala-basedMLlibrariestosolveclassificationandregressionproblemsusinglinearregression,generalizedlinearregression,logisticregression,supportvectormachine,andNa?veBayesalgorithms.Italsocoverstree-basedensembletechniquesforsolvingbothclassificationandregressionproblems.Movingahead,itcoversunsupervisedlearningtechniques,suchasdimensionalityreduction,clustering,andrecommendersystems.Finally,itprovidesabriefoverviewofdeeplearningusingareal-lifeexampleinScala.

·4.5萬(wàn)字

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Kibana 7 Quick Start Guide

TheElasticStackisgrowingrapidlyand,daybyday,additionaltoolsarebeingaddedtomakeitmoreeffective.ThisbookendeavorstoexplainalltheimportantaspectsofKibana,whichisessentialforutilizingitsfullpotential.ThisbookcoversthecoreconceptsofKibana,withchapterssetoutinacoherentmannersothatreaderscanadvancetheirlearninginastep-by-stepmanner.Thefocusisonapracticalapproach,therebyenablingthereadertoapplythoseexamplesinrealtimeforabetterunderstandingoftheconceptsandtoprovidethemwiththecorrectskillsinrelationtothetool.Withitssuccinctexplanations,itisquiteeasyforareadertousethisbookasareferenceguideforlearningbasictoadvancedimplementationsofKibana.Thepracticalexamples,suchasthecreationofKibanadashboardsfromCSVdata,applicationRDBMSdata,systemmetricsdata,logfiledata,APMagents,andsearchresults,canprovidereaderswithanumberofdifferentdrop-offpointsfromwheretheycanfetchanytypeofdataintoKibanaforthepurposeofanalysisordashboarding.

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Practical Data Analysis

Eachchapterofthebookquicklyintroducesakey‘theme’ofDataAnalysis,beforeimmersingyouinthepracticalaspectsofeachtheme.You’lllearnquicklyhowtoperformallaspectsofDataAnalysis.PracticalDataAnalysisisabookidealforhomeandsmallbusinessuserswhowanttoslicedicethedatatheyhaveonhandwithminimumhassle.

·5.4萬(wàn)字

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Ensemble Machine Learning Cookbook

Ensemblemodelingisanapproachusedtoimprovetheperformanceofmachinelearningmodels.Itcombinestwoormoresimilarordissimilarmachinelearningalgorithmstodeliversuperiorintellectualpowers.Thisbookwillhelpyoutoimplementpopularmachinelearningalgorithmstocoverdifferentparadigmsofensemblemachinelearningsuchasboosting,bagging,andstacking.TheEnsembleMachineLearningCookbookwillstartbygettingyouacquaintedwiththebasicsofensembletechniquesandexploratorydataanalysis.You'llthenlearntoimplementtasksrelatedtostatisticalandmachinelearningalgorithmstounderstandtheensembleofmultipleheterogeneousalgorithms.Itwillalsoensurethatyoudon'tmissoutonkeytopics,suchaslikeresamplingmethods.Asyouprogress,you’llgetabetterunderstandingofbagging,boosting,stacking,andworkingwiththeRandomForestalgorithmusingreal-worldexamples.Thebookwillhighlighthowtheseensemblemethodsusemultiplemodelstoimprovemachinelearningresults,ascomparedtoasinglemodel.Intheconcludingchapters,you'lldelveintoadvancedensemblemodelsusingneuralnetworks,naturallanguageprocessing,andmore.You’llalsobeabletoimplementmodelssuchasfrauddetection,textcategorization,andsentimentanalysis.Bytheendofthisbook,you'llbeabletoharnessensembletechniquesandtheworkingmechanismsofmachinelearningalgorithmstobuildintelligentmodelsusingindividualrecipes.

·5.5萬(wàn)字

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Practical Computer Vision

ThisbookisformachinelearningpractitionersanddeeplearningenthusiastswhowanttounderstandandimplementvarioustasksassociatedwithComputerVisionandimageprocessinginthemostpracticalmannerpossible.SomeprogrammingexperiencewouldbebeneficialwhileknowingPythonwouldbeanaddedbonus.

·4.1萬(wàn)字

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Hands-On Reactive Programming with Reactor

ReactorisanimplementationoftheJava9ReactiveStreamsspecification,anAPIforasynchronousdataprocessing.Thisspecificationisbasedonareactiveprogrammingparadigm,enablingdeveloperstobuildenterprise-grade,robustapplicationswithreducedcomplexityandinlesstime.Hands-OnReactiveProgrammingwithReactorshowsyouhowReactorworks,aswellashowtouseittodevelopreactiveapplicationsinJava.ThebookbeginswiththefundamentalsofReactorandtheroleitplaysinbuildingeffectiveapplications.Youwilllearnhowtobuildfullynon-blockingapplicationsandwilllaterbeguidedbythePublisherandSubscriberAPIs.YouwillgainanunderstandinghowtousetworeactivecomposableAPIs,FluxandMono,whichareusedextensivelytoimplementReactiveExtensions.Allofthesecomponentsarecombinedusingvariousoperationstobuildacompletesolution.Inadditiontothis,youwillgettogripswiththeFlowAPIandunderstandbackpressureinordertocontroloverruns.YouwillalsostudytheuseofSpringWebFlux,anextensionoftheReactorframeworkforbuildingmicroservices.Bytheendofthebook,youwillhavegainedenoughconfidencetobuildreactiveandscalablemicroservices.

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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.

·5.9萬(wàn)字

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HTML5 Canvas Cookbook

Writtenincookbookstyle,thisbookoffersawidearrayoftechniquesforbuildingHTML5Canvasapplications.Eachrecipecontainsstep-by-stepinstructionsfollowedbyanalysisofwhatwasdoneineachtaskandotherusefulinformation.Thebookisdesignedsothatyoucanreaditchapterbychapter,oryoucanlookatthelistofrecipesandrefertotheminnoparticularorder.ThisbookisgearedtowardswebdeveloperswhoarefamiliarwithHTMLandJavaScript.ItiswrittenforbothbeginnersandseasonedHTML5developerswithagoodworkingknowledgeofJavaScript.

·5.6萬(wàn)字

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Hands-On Linux for Architects

Itisveryimportanttounderstandtheflexibilityofaninfrastructurewhendesigninganefficientenvironment.Inthisbook,youwillcovereverythingfromLinuxcomponentsandfunctionalitiesthroughtohardwareandsoftwaresupport,whichwillhelpyoutoimplementandtuneeffectiveLinux-basedsolutions.ThisbookgetsstartedwithanoverviewofLinuxdesignmethodology.Next,youwillfocusonthecoreconceptsofdesigningasolution.Asyouprogress,youwillgaininsightsintothekindsofdecisionsyouneedtomakewhendeployingahigh-performancesolutionusingGlusterFileSystem(GlusterFS).Inthenextsetofchapters,thebookwillguideyouthroughthetechniqueofusingKubernetesasanorchestratorfordeployingandmanagingcontainerizedapplications.Inadditiontothis,youwilllearnhowtoapplyandconfigureKubernetesforyourNGINXapplication.You’llthenlearnhowtoimplementanELKstack,whichiscomposedofElasticsearch,Logstash,andKibana.Intheconcludingchapters,youwillfocusoninstallingandconfiguringaSaltstacksolutiontomanagedifferentLinuxdistributions,andexploreavarietyofdesignbestpractices.Bytheendofthisbook,youwillbewell-versedwithdesigningahigh-performingcomputingenvironmentforcomplexapplicationstorunon.Bytheendofthebook,youwillhavedelvedinsidethemostdetailedtechnicalconditionsofdesigningasolution,andyouwillhavealsodissectedeveryaspectindetailinordertoimplementandtuneopensourceLinux-basedsolutions.

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Salesforce CRM Admin Cookbook

ThisbookiswritteninaCookbook-styleformatandprovidesyouwithimmediatelyuseablerecipesthatextendthefunctionalityofSalesforceCRMandsolvesreal-worldproblemsencounteredwithintheSalesforceCRMapplication.TherecipesinthisCookbookcontainproven,step-by-stepinstructionsalongwithdetailedscreenshots.ThisCookbookhasbeendesignedsothatyoucanreaditchapterbychapter,startingwithrecipesthatprovideenhancementstotheuserinterface,andfinishingwithrecipesthatcoverdataandsystemsintegration.Youcanalsorefertothelistofrecipesandchoosetoaccesstheminnoparticularorder.EithermethodallowsyoutorapidlyimplementsolutionsinyourorganizationthatextendandenhancethefunctionalityofSalesforceCRMforyourusers.ThisbookisforSalesforceadministratorsanddeveloperswhowanttoquicklyincorporateenhancedfunctionalityandextendthepowerofSalesforceCRM.WhetheryouareaSalesforcenoviceoramoreexperiencedadministrator,thisbookprovidespractical,step-by-stepinstructionsintheuseofhiddenfeatures,advanceduserinterfacetechniques,andsolutionsforprocessautomation,plusdataandsystemsintegration.NotonlyarestandardSalesforceCRMfeaturescovered,suchasworkflowandapprovalprocesses,validationrules,andformulafields,butyouwillalsobeexposedtofurthertechnologiesthatincludeHTML,Javascript,CSS,Apex,andVisualforce.

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Moodle 2.5 Multimedia

Atutorial-basedguidewherereaderscanworkthroughpracticalexamplesthatclearlydescribehowtocreatemultimediaapplicationsusingMoodleandintegrateexistingmultimediaresourcesintoMoodlecourses.IfyouareateacherortrainerwhorunsonlinecoursesandhasabasicunderstandingofMoodle,thisbookwillbeidealforyou.Itisnotnecessarytohaveanadvancedtechnicalbackgroundtocreatemultimediaelementsasthetaskswillbesimple,nottimeconsuming,andwillbepracticalforeverydayuse.

·4.6萬(wàn)字

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Teradata Cookbook

ThisbookisforDatabaseadministrator'sandTeradatauserswhoarelookingforapractical,one-stopresourcetosolvealltheirproblemswhilehandlingtheirTeradatasolution.IfyouarelookingtolearnthebasicaswellastheadvancedtasksinvolvedinTeradataqueryingoradministration,thisbookwillbehandy.Someknowledgeofrelationaldatabaseconceptswillbehelpfultogetthebestoutofthisbook.

·6.7萬(wàn)字

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Learning Social Media Analytics with R

ItistargetedatITprofessionals,DataScientists,Analysts,Developers,MachineLearningEnthusiasts,socialmediamarketersandanyonewithakeeninterestindata,analytics,andgeneratinginsightsfromsocialdata.SomebackgroundexperienceinRwouldbehelpful,butnotnecessary,sincethisbookiswrittenkeepinginmind,thatreaderscanhavevaryinglevelsofexpertise.

·6.7萬(wàn)字

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Hands-On Data Science with the Command Line

TheCommandLinehasbeeninexistenceonUNIX-basedOSesintheformofBashshellforover3decades.However,verylittleisknowntodevelopersastohowcommand-linetoolscanbeOSEMN(pronouncedasawesomeandstandingforObtaining,Scrubbing,Exploring,Modeling,andiNterpretingdata)forcarryingoutsimple-to-advanceddatasciencetasksatspeed.Thisbookwillstartwiththerequisiteconceptsandinstallationstepsforcarryingoutdatasciencetasksusingthecommandline.Youwilllearntocreateadatapipelinetosolvetheproblemofworkingwithsmall-tomedium-sizedfilesonasinglemachine.Youwillunderstandthepowerofthecommandline,learnhowtoeditfilesusingatext-basedandan.Youwillnotonlylearnhowtoautomatejobsandscripts,butalsolearnhowtovisualizedatausingthecommandline.Bytheendofthisbook,youwilllearnhowtospeeduptheprocessandperformautomatedtasksusingcommand-linetools.

·2.2萬(wàn)字

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Hands-On Artificial Intelligence for Search

Mastering Text Mining with R

Cloud Native Development Patterns and Best Practices

Drupal 7 Multi Sites Configuration

Machine Learning with Scala Quick Start Guide

Kibana 7 Quick Start Guide

Practical Data Analysis

Ensemble Machine Learning Cookbook

Practical Computer Vision

Hands-On Reactive Programming with Reactor

TensorFlow Machine Learning Projects

HTML5 Canvas Cookbook

Hands-On Linux for Architects

Salesforce CRM Admin Cookbook

Moodle 2.5 Multimedia

Teradata Cookbook

Learning Social Media Analytics with R

Hands-On Data Science with the Command Line