打鱼赢钱游戏是坑人的

D3.jsisaJavaScriptlibrarythatallowsyoutocreategraphsanddatavisualizationsinthebrowserwithHTML,SVG,andCSS.ThisbookwilltakeyoufromthebasicsofD3.js,sothatyoucancreateyourowninteractivevisualizations,tocreatingthemostcommongraphsthatyouwillencounterasadeveloper,scientist,statistician,ordatascientist.ThebookbeginswithanoverviewofSVG,thebasisforcreatingtwo-dimensionalgraphicsinthebrowser.OncethereaderhasafirmunderstandingofSVG,wewilltacklethebasicsofhowtouseD3.jstoconnectdatatoourSVGelements.Wewillstartwithascatterplotthatmapsrundatatocirclesonagraph,andexpandourscatterplottomakeitinteractive.Youwillseehowyoucaneasilyallowtheusersofyourgraphtocreate,edit,anddeleterundatabysimplydraggingandclickingthegraph.Next,wewillexplorecreatingabargraph,usingexternaldatafromamockAPI.Afterthat,wewillexploreanimationsandmotionwithabargraph,andusevariousphysics-basedforcestocreateaforce-directedgraph.Finally,wewilllookathowtouseGeoJSONdatatocreateamap.

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MongoDB 4 Quick Start Guide

MongoDBhasgrowntobecomethedefactoNoSQLdatabasewithmillionsofusers,fromsmallstart-upstoFortune500companies.Itcansolveproblemsthatareconsidereddifficult,ifnotimpossible,foragingRDBMStechnologies.Writtenforversion4ofMongoDB,thisbookistheeasiestwaytogetstartedwithMongoDB.YouwillstartbygettingaMongoDBinstallationupandrunninginasafeandsecuremanner.Youwilllearnhowtoperformmission-criticalcreate,read,update,anddeleteoperations,andsetupdatabasesecurity.YouwillalsolearnaboutadvancedfeaturesofMongoDBsuchastheaggregationpipeline,replication,andsharding.YouwilllearnhowtobuildasimplewebapplicationthatusesMongoDBtorespondtoAJAXqueries,andseehowtomakeuseoftheMongoDBprogramminglanguagedriverforPHP.TheexamplesincorporatenewfeaturesavailableinMongoDBversion4whereappropriate.

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Getting Started with Tableau 2018.x

Tableauisoneoftheleadingbusinessintelligencetoolsusedworldwide,inorganizationsofeveryscale.Initslatestrelease,Tableau2018promisesricherandmoreusefulfeaturesrelatedtovisualanalytics,reporting,dashboarding,andahostofotherdatavisualizationaspects.GettingStartedwithTableau2018.xwillgetyouupandrunningwiththesefeatures.ThebookstartswithallthenewfunctionalitiesofthedifferentTableau2018versions,alongwithconcreteexamplesofhowtousethem.However,ifyou'renewtoTableau,don'tworry!TherestofthebookwillguideyouthrougheachmajoraspectofTableauwithexamples.You'lllearnhowtoconnecttodata,buildadatasource,visualizeyourdata,buildadashboard,andshareitonline.Inthefinalchapters,you'llalsolearnadvancedtechniquessuchascreatingacross-databasejoin,datablending,andmore.Bytheendofthebook,youwillhaveafirmunderstandingofhowtoeffectivelyuseTableautocreatequick,cost-effective,andbusiness-efficientbusinessintelligencesolutions.

·5.6萬字

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Effective DevOps with AWS

TheDevOpsmovementhastransformedthewaymoderntechcompanieswork.AmazonWebServices(AWS),whichhasbeenattheforefrontofthecloudcomputingrevolution,hasalsobeenakeycontributortotheDevOpsmovement,creatingahugerangeofmanagedservicesthathelpyouimplementDevOpsprinciples.EffectiveDevOpswithAWS,SecondEditionwillhelpyoutounderstandhowthemostsuccessfultechstart-upslaunchandscaletheirservicesonAWS,andwillteachyouhowyoucandothesame.Thisbookexplainshowtotreatinfrastructureascode,meaningyoucanbringresourcesonlineandofflineaseasilyasyoucontrolyoursoftware.Youwillalsobuildacontinuousintegrationandcontinuousdeploymentpipelinetokeepyourappuptodate.Onceyouhavegottentogripswillallthis,we'llmoveontohowtoscaleyourapplicationstooffermaximumperformancetousersevenwhentrafficspikes,byusingthelatesttechnologies,suchascontainers.Inadditiontothis,you'llgetinsightsintomonitoringandalerting,soyoucanmakesureyourusershavethebestexperiencewhenusingyourservice.Intheconcludingchapters,we'llcoverinbuiltAWStoolssuchasCodeDeployandCloudFormation,whichareusedbymanyAWSadministratorstoperformDevOps.Bytheendofthisbook,you'llhavelearnedhowtoensurethesecurityofyourplatformanddata,usingthelatestandmostprominentAWStools.

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Keras Reinforcement Learning Projects

ReinforcementlearninghasevolvedalotinthelastcoupleofyearsandproventobeasuccessfultechniqueinbuildingsmartandintelligentAInetworks.KerasReinforcementLearningProjectsinstallshuman-levelperformanceintoyourapplicationsusingalgorithmsandtechniquesofreinforcementlearning,coupledwithKeras,afasterexperimentallibrary.ThebookbeginswithgettingyouupandrunningwiththeconceptsofreinforcementlearningusingKeras.You’lllearnhowtosimulatearandomwalkusingMarkovchainsandselectthebestportfoliousingdynamicprogramming(DP)andPython.You’llalsoexploreprojectssuchasforecastingstockpricesusingMonteCarlomethods,deliveringvehicleroutingapplicationusingTemporalDistance(TD)learningalgorithms,andbalancingaRotatingMechanicalSystemusingMarkovdecisionprocesses.Onceyou’veunderstoodthebasics,you’llmoveontoModelingofaSegway,runningarobotcontrolsystemusingdeepreinforcementlearning,andbuildingahandwrittendigitrecognitionmodelinPythonusinganimagedataset.Finally,you’llexcelinplayingtheboardgameGowiththehelpofQ-Learningandreinforcementlearningalgorithms.Bytheendofthisbook,you’llnotonlyhavedevelopedhands-ontrainingonconcepts,algorithms,andtechniquesofreinforcementlearningbutalsobeallsettoexploretheworldofAI.

·7.7萬字

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Redash v5 Quick Start Guide

DataexplorationandvisualizationisvitaltoBusinessIntelligence,thebackboneofalmosteveryenterpriseororganization.Redashisaqueryingandvisualizationtooldevelopedtosimplifyhowmarketingandbusinessdevelopmentdepartmentsareexposedtodata.IfyouwanttolearntocreateinteractivedashboardswithRedash,exploredifferentvisualizations,andsharetheinsightswithyourpeers,thenthisistheidealbookforyou.ThebookstartswithessentialBusinessIntelligenceconceptsthatareattheheartofdatavisualizations.YouwilllearnhowtofindyourwayroundRedashanditsricharrayofdatavisualizationoptionsforbuildinginteractivedashboards.Youwilllearnhowtocreatedatastorytellingandsharethesewithpeers.Youwillseehowtoconnecttodifferentdatasourcestoprocesscomplexdata,andthenvisualizethisdatatorevealvaluableinsights.Bytheendofthisbook,youwillbeconfidentwiththeRedashdashboardingtooltoprovideinsightandcommunicatedatastorytelling.

·2.9萬字

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Matplotlib 3.0 Cookbook

Matplotlibprovidesalargelibraryofcustomizableplots,alongwithacomprehensivesetofbackends.Matplotlib3.0Cookbookisyourhands-onguidetoexploringtheworldofMatplotlib,andcoversthemosteffectiveplottingpackagesforPython3.7.Withthehelpofthiscookbook,you'llbeabletotackleanyproblemyoumightcomeacrosswhiledesigningattractive,insightfuldatavisualizations.Withthehelpofover150recipes,you'lllearnhowtodevelopplotsrelatedtobusinessintelligence,datascience,andengineeringdisciplineswithhighlydetailedvisualizations.Onceyou'vefamiliarizedyourselfwiththefundamentals,you'llmoveontodevelopingprofessionaldashboardswithawidevarietyofgraphsandsophisticatedgridlayoutsin2Dand3D.You'llannotateandaddrichtexttotheplots,enablingthecreationofabusinessstoryline.Inadditiontothis,you'lllearnhowtosavefiguresandanimationsinvariousformatsfordownstreamdeployment,followedbyextendingthefunctionalityofferedbyvariousinternalandthird-partytoolkits,suchasaxisartist,axes_grid,Cartopy,andSeaborn.Bytheendofthisbook,you'llbeabletocreatehigh-qualitycustomizedplotsanddeploythemonthewebandonsupportedGUIapplicationssuchasTkinter,Qt5,andwxPythonbyimplementingreal-worldusecasesandexamples.

·10.7萬字

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Hands-On Software Engineering with Python

SoftwareEngineeringisaboutmorethanjustwritingcode—itincludesahostofsoftskillsthatapplytoalmostanydevelopmenteffort,nomatterwhatthelanguage,developmentmethodology,orscopeoftheproject.Beingaseniordeveloperallbutrequiresawarenessofhowthoseskills,alongwiththeirexpectedtechnicalcounterparts,meshtogetherthroughaproject'slifecycle.Thisbookwalksyouthroughthatdiscoverybygoingovertheentirelifecycleofamulti-tiersystemanditsrelatedsoftwareprojects.You'llseewhathappensbeforeanydevelopmenttakesplace,andwhatimpactthedecisionsanddesignsmadeateachstephaveonthedevelopmentprocess.Thedevelopmentoftheentireproject,overthecourseofseveraliterationsbasedonreal-worldAgileiterations,willbeexecuted,sometimesstartingfromnothing,inoneofthefastestgrowinglanguagesintheworld—Python.ApplicationofpracticesinPythonwillbelaidout,alongwithanumberofPython-specificcapabilitiesthatareoftenoverlooked.Finally,thebookwillimplementahigh-performancecomputingsolution,fromfirstprinciplesthroughcompletefoundation.

·16.9萬字

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Apache Hadoop 3 Quick Start Guide

ApacheHadoopisawidelyuseddistributeddataplatform.Itenableslargedatasetstobeefficientlyprocessedinsteadofusingonelargecomputertostoreandprocessthedata.ThisbookwillgetyoustartedwiththeHadoopecosystem,andintroduceyoutothemaintechnicaltopics,includingMapReduce,YARN,andHDFS.ThebookbeginswithanoverviewofbigdataandApacheHadoop.Then,youwillsetupapseudoHadoopdevelopmentenvironmentandamulti-nodeenterpriseHadoopcluster.Youwillseehowtheparallelprogrammingparadigm,suchasMapReduce,cansolvemanycomplexdataprocessingproblems.Thebookalsocoverstheimportantaspectsofthebigdatasoftwaredevelopmentlifecycle,includingqualityassuranceandcontrol,performance,administration,andmonitoring.YouwillthenlearnabouttheHadoopecosystem,andtoolssuchasKafka,Sqoop,Flume,Pig,Hive,andHBase.Finally,youwilllookatadvancedtopics,includingrealtimestreamingusingApacheStorm,anddataanalyticsusingApacheSpark.Bytheendofthebook,youwillbewellversedwithdifferentconfigurationsoftheHadoop3cluster.

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Machine Learning in Java

Astheamountofdataintheworldcontinuestogrowatanalmostincomprehensiblerate,beingabletounderstandandprocessdataisbecomingakeydifferentiatorforcompetitiveorganizations.Machinelearningapplicationsareeverywhere,fromself-drivingcars,spamdetection,documentsearch,andtradingstrategies,tospeechrecognition.Thismakesmachinelearningwell-suitedtothepresent-dayeraofbigdataandDataScience.Themainchallengeishowtotransformdataintoactionableknowledge.MachineLearninginJavawillprovideyouwiththetechniquesandtoolsyouneed.Youwillstartbylearninghowtoapplymachinelearningmethodstoavarietyofcommontasksincludingclassification,prediction,forecasting,marketbasketanalysis,andclustering.ThecodeinthisbookworksforJDK8andabove,thecodeistestedonJDK11.Movingon,youwilldiscoverhowtodetectanomaliesandfraud,andwaystoperformactivityrecognition,imagerecognition,andtextanalysis.Bytheendofthebook,youwillhaveexploredrelatedwebresourcesandtechnologiesthatwillhelpyoutakeyourlearningtothenextlevel.Byapplyingthemosteffectivemachinelearningmethodstoreal-worldproblems,youwillgainhands-onexperiencethatwilltransformthewayyouthinkaboutdata.

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Keras Deep Learning Cookbook

Kerashasquicklyemergedasapopulardeeplearninglibrary.WritteninPython,itallowsyoutotrainconvolutionalaswellasrecurrentneuralnetworkswithspeedandaccuracy.TheKerasDeepLearningCookbookshowsyouhowtotackledifferentproblemsencounteredwhiletrainingefficientdeeplearningmodels,withthehelpofthepopularKeraslibrary.StartingwithinstallingandsettingupKeras,thebookdemonstrateshowyoucanperformdeeplearningwithKerasintheTensorFlow.Fromloadingdatatofittingandevaluatingyourmodelforoptimalperformance,youwillworkthroughastep-by-stepprocesstotackleeverypossibleproblemfacedwhiletrainingdeepmodels.Youwillimplementconvolutionalandrecurrentneuralnetworks,adversarialnetworks,andmorewiththehelpofthishandyguide.Inadditiontothis,youwilllearnhowtotrainthesemodelsforreal-worldimageandlanguageprocessingtasks.Bytheendofthisbook,youwillhaveapractical,hands-onunderstandingofhowyoucanleveragethepowerofPythonandKerastoperformeffectivedeeplearning

·3.8萬字

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Hands-On Data Science with SQL Server 2017

SQLServerisarelationaldatabasemanagementsystemthatenablesyoutocoverend-to-enddatascienceprocessesusingvariousinbuiltservicesandfeatures.Hands-OnDataSciencewithSQLServer2017startswithanoverviewofdatasciencewithSQLtounderstandthecoretasksindatascience.Youwilllearnintermediate-to-advancedlevelconceptstoperformanalyticaltasksondatausingSQLServer.Thebookhasauniqueapproach,coveringbestpractices,tasks,andchallengestotestyourabilitiesattheendofeachchapter.Youwillexploretheinsandoutsofperformingvariouskeytaskssuchasdatacollection,cleaning,manipulation,aggregations,andfilteringtechniques.Asyoumakeyourwaythroughthechapters,youwillturnrawdataintoactionableinsightsbywranglingandextractingdatafromdatabasesusingT-SQL.Youwillgettogripswithpreparingandpresentingdatainameaningfulway,usingPowerBItorevealhiddenpatterns.Intheconcludingchapters,youwillworkwithSQLServerintegrationservicestotransformdataintoausefulformatanddelveintoadvancedexamplescoveringmachinelearningconceptssuchaspredictiveanalyticsusingreal-worldexamples.Bytheendofthisbook,youwillbeinapositiontohandlethegrowingamountsofdataandperformeverydayactivitiesthatadatascienceprofessionalperforms.

·10.8萬字

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Docker Quick Start Guide

Dockerisanopensourcesoftwareplatformthathelpsyouwithcreating,deploying,andrunningyourapplicationsusingcontainers.ThisbookisyouridealintroductiontoDockerandcontainerization.YouwilllearnhowtosetupaDockerdevelopmentenvironmentonaLinux,Mac,orWindowsworkstation,andlearnyourwayaroundallthecommandstorunandmanageyourDockerimagesandcontainers.YouwillexploretheDockerfileandlearnhowtobuildyourownenterprise-gradeDockerimages.ThenyouwilllearnaboutDockernetworks,Dockerswarm,andDockervolumes,andhowtousethesefeatureswithDockerstacksinordertodefine,deploy,andmaintainhighly-scalable,fault-tolerantmulti-containerapplications.Finally,youwilllearnhowtoleverageDockerwithJenkinstoautomatethebuildingofDockerimagesandthedeploymentofDockercontainers.Bytheendofthisbook,youwillbewellpreparedwhenitcomestousingDockerforyournextproject.

·5.3萬字

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Splunk 7.x Quick Start Guide

Splunkisaleadingplatformandsolutionforcollecting,searching,andextractingvaluefromeverincreasingamountsofbigdata-andbigdataiseatingtheworld!ThisbookcoversallthecrucialSplunktopicsandgivesyoutheinformationandexamplestogettheimmediatejobdone.YouwillfindenoughinsightstosupportfurtherresearchanduseSplunktosuitanybusinessenvironmentorsituation.Splunk7.xQuickStartGuidegivesyouathoroughunderstandingofhowSplunkworks.Youwilllearnaboutallthecriticaltasksforarchitecting,implementing,administering,andutilizingSplunkEnterprisetocollect,store,retrieve,format,analyze,andvisualizemachinedata.Youwillfindstep-by-stepexamplesbasedonreal-worldexperienceandpracticalusecasesthatareapplicabletoallSplunkenvironments.Thereisacarefulbalancebetweenadequatecoverageofallthecriticaltopicswithshortbutrelevantdeep-divesintotheconfigurationoptionsandstepstocarryouttheday-to-daytasksthatmatter.Bytheendofthebook,youwillbeaconfidentandproficientSplunkarchitectandadministrator.

·7.1萬字

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Azure Serverless Computing Cookbook

MicrosoftprovidesasolutionforeasilyrunningsmallsegmentsofcodeinthecloudwithAzureFunctions.ThesecondeditionofAzureServerlessComputingCookbookstartswithintermediate-levelrecipesonserverlesscomputingalongwithsomeusecasesdemonstratingthebenefitsandkeyfeaturesofAzureFunctions.You’llexplorethecoreaspectsofAzureFunctions,suchastheservicesitprovides,howyoucandevelopandwriteAzureFunctions,andhowtomonitorandtroubleshootthem.Asyoumakeyourwaythroughthechapters,you’llgetpracticalrecipesonintegratingDevOpswithAzureFunctions,andprovidingcontinuousintegrationandcontinuousdeploymentwithAzureDevOps.Thisbookalsoprovideshands-on,step-by-steptutorialsbasedonreal-worldserverlessusecasestoguideyouthroughconfiguringandsettingupyourserverlessenvironmentswithease.Youwillalsolearnhowtobuildsolutionsforcomplex,real-world,workflow-basedscenariosquicklyandwithminimalcodeusingDurableFunctions.Intheconcludingchapters,youwillensureenterprise-levelsecuritywithinyourserverlessenvironment.ThemostcommontipsandtricksthatyouneedtobeawareofwhenworkingwithAzureFunctionsonproductionenvironmentswillalsobecoveredinthisbook.Bytheendofthisbook,youwillhavealltheskillsrequiredforworkingwithserverlesscodearchitecture,providingcontinuousdeliverytoyourusers.

·5.1萬字

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Mastering Windows Group Policy

ThisbookbeginswithadiscussionofthecorematerialanyadministratorneedstoknowinordertostartworkingwithGroupPolicy.Movingon,wewillalsowalkthroughtheprocessofbuildingalabenvironmenttostarttestingGroupPolicytoday.NextwewillexploretheGroupPolicyManagementConsole(GPMC)andstartusingthepowerfulfeaturesavailableforuswithinthatinterface.OnceyouarewellversedwithusingGPMC,youwilllearntoperformandmanagethetraditionalcoretasksinsideGroupPolicy.Includedinthebookaremanyexamplesandwalk-throughsofthedifferentfilteringoptionsavailablefortheapplicationofGroupPolicysettings,asthisistherealpowerthatGroupPolicyholdswithinyournetwork.YouwillalsolearnhowyoucanuseGroupPolicytosecureyourActiveDirectoryenvironment,andalsounderstandhowGroupPolicypreferencesaredifferentthanpolicies,withthehelpofreal-worldexamples.FinallywewillspendsometimeonmaintenanceandtroubleshootingcommonGroupPolicy-relatedissuessothatyou,asadirectoryadministrator,willunderstandthediagnosingprocessforpolicysettings.Bytheendofthebook,youwillbeabletojumprightinanduseGroupPolicytoitsfullpotential.

·8.7萬字

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Apache Superset Quick Start Guide

ApacheSupersetisamodern,opensource,enterprise-readybusinessintelligence(BI)webapplication.Withthehelpofthisbook,youwillseehowSupersetintegrateswithpopulardatabaseslikePostgres,GoogleBigQuery,Snowflake,andMySQL.YouwilllearntocreaterealtimedatavisualizationsanddashboardsonmodernwebbrowsersforyourorganizationusingSuperset.First,welookatthefundamentalsofSuperset,andthengetitupandrunning.You'llgothroughtherequisiteinstallation,configuration,anddeployment.Then,wewilldiscussdifferentcolumnardatatypes,analytics,andthevisualizationsavailable.You'llalsoseethesecuritytoolsavailabletotheadministratortokeepyourdatasafe.Youwilllearnhowtovisualizerelationshipsasgraphsinsteadofcoordinatesonplainorthogonalaxes.Thiswillhelpyouwhenyouuploadyourownentityrelationshipdatasetandanalyzethedatasetinnew,differentways.Youwillalsoseehowtoanalyzegeographicalregionsbyworkingwithlocationdata.Finally,wecoverasetoftutorialsondashboarddesignsfrequentlyusedbyanalysts,businessintelligenceprofessionals,anddevelopers.

·2.2萬字

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Microsoft Power BI Complete Reference

MicrosoftPowerBICompleteReferenceGuidegetsyoustartedwithbusinessintelligencebyshowingyouhowtoinstallthePowerBItoolset,designeffectivedatamodels,andbuildbasicdashboardsandvisualizationsthatmakeyourdatacometolife.InthisLearningPath,youwilllearntocreatepowerfulinteractivereportsbyvisualizingyourdataandlearnvisualizationstyles,tipsandtrickstobringyourdatatolife.Youwillbeabletoadministeryourorganization'sPowerBIenvironmenttocreateandsharedashboards.Youwillalsobeabletostreamlinedeploymentbyimplementingsecurityandregulardatarefreshes.Next,youwilldelvedeeperintothenuancesofPowerBIandhandlingprojects.YouwillgetacquaintedwithplanningaPowerBIproject,development,anddistributionofcontent,anddeployment.Youwilllearntoconnectandextractdatafromvarioussourcestocreaterobustdatasets,reports,anddashboards.Additionally,youwilllearnhowtoformatreportsandapplycustomvisuals,animationandanalyticstofurtherrefineyourdata.BytheendofthisLearningPath,youwilllearntoimplementthevariousPowerBItoolssuchason-premisesgatewaytogetheralongwithstagingandsecurelydistributingcontentviaapps.ThisLearningPathincludescontentfromthefollowingPacktproducts:MicrosoftPowerBIQuickStartGuidebyDevinKnightetal.MasteringMicrosoftPowerBIbyBrettPowell.

·17.8萬字

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Machine Learning with Apache Spark Quick Start Guide

Everypersonandeveryorganizationintheworldmanagesdata,whethertheyrealizeitornot.Dataisusedtodescribetheworldaroundusandcanbeusedforalmostanypurpose,fromanalyzingconsumerhabitstofightingdiseaseandseriousorganizedcrime.Ultimately,wemanagedatainordertoderivevaluefromit,andmanyorganizationsaroundtheworldhavetraditionallyinvestedintechnologytohelpprocesstheirdatafasterandmoreefficiently.Butwenowliveinaninterconnectedworlddrivenbymassdatacreationandconsumptionwheredataisnolongerrowsandcolumnsrestrictedtoaspreadsheet,butanorganicandevolvingassetinitsownright.Withthisrealizationcomesmajorchallengesfororganizations:howdowemanagethesheersizeofdatabeingcreatedeverysecond(thinknotonlyspreadsheetsanddatabases,butalsosocialmediaposts,images,videos,music,blogsandsoon)?Andoncewecanmanageallofthisdata,howdowederiverealvaluefromit?ThefocusofMachineLearningwithApacheSparkistohelpusanswerthesequestionsinahands-onmanner.Weintroducethelatestscalabletechnologiestohelpusmanageandprocessbigdata.Wethenintroduceadvancedanalyticalalgorithmsappliedtoreal-worldusecasesinordertouncoverpatterns,deriveactionableinsights,andlearnfromthisbigdata.

·5.2萬字

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Bayesian Analysis with Python

ThesecondeditionofBayesianAnalysiswithPythonisanintroductiontothemainconceptsofappliedBayesianinferenceanditspracticalimplementationinPythonusingPyMC3,astate-of-the-artprobabilisticprogramminglibrary,andArviZ,anewlibraryforexploratoryanalysisofBayesianmodels.ThemainconceptsofBayesianstatisticsarecoveredusingapracticalandcomputationalapproach.Syntheticandrealdatasetsareusedtointroduceseveraltypesofmodels,suchasgeneralizedlinearmodelsforregressionandclassification,mixturemodels,hierarchicalmodels,andGaussianprocesses,amongothers.Bytheendofthebook,youwillhaveaworkingknowledgeofprobabilisticmodelingandyouwillbeabletodesignandimplementBayesianmodelsforyourowndatascienceproblems.Afterreadingthebookyouwillbebetterpreparedtodelveintomoreadvancedmaterialorspecializedstatisticalmodelingifyouneedto.

·8.6萬字

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D3.js Quick Start Guide