mt电子烟如何拆解充电

Whileconnectedtotheinternet,you’reapotentialtargetforanarrayofcyberthreats,suchashackers,keyloggers,andTrojansthatattackthroughunpatchedsecurityholes.Afirewallworksasabarrier(or‘shield’)betweenyourcomputerandcyberspace.pfSenseishighlyversatilefirewallsoftware.WiththousandsofenterprisesusingpfSense,itisfastbecomingtheworld'smosttrustedopensourcenetworksecuritysolution.NetworkSecuritywithpfSensebeginswithanintroductiontopfSense,whereyouwillgainanunderstandingofwhatpfSenseis,itskeyfeatures,andadvantages.Next,youwilllearnhowtoconfigurepfSenseasafirewallandcreateandmanagefirewallrules.Asyoumakeyourwaythroughthechapters,youwilltestpfSenseforfailoverandloadbalancingacrossmultiplewideareanetwork(WAN)connections.YouwillthenconfigurepfSensewithOpenVPNforsecureremoteconnectivityandimplementIPsecVPNtunnelswithpfSense.Intheconcludingchapters,you’llunderstandhowtoconfigureandintegratepfSenseasaSquidproxyserver.Bytheendofthisbook,youwillbeabletoleveragethepowerofpfSensetobuildasecurenetwork.

·2.5萬(wàn)字

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Hands-On Ensemble Learning with R

Ensembletechniquesareusedforcombiningtwoormoresimilarordissimilarmachinelearningalgorithmstocreateastrongermodel.Suchamodeldeliverssuperiorpredictionpowerandcangiveyourdatasetsaboostinaccuracy.Hands-OnEnsembleLearningwithRbeginswiththeimportantstatisticalresamplingmethods.Youwillthenwalkthroughthecentraltrilogyofensembletechniques–bagging,randomforest,andboosting–thenyou'lllearnhowtheycanbeusedtoprovidegreateraccuracyonlargedatasetsusingpopularRpackages.Youwilllearnhowtocombinemodelpredictionsusingdifferentmachinelearningalgorithmstobuildensemblemodels.Inadditiontothis,youwillexplorehowtoimprovetheperformanceofyourensemblemodels.Bytheendofthisbook,youwillhavelearnedhowmachinelearningalgorithmscanbecombinedtoreducecommonproblemsandbuildsimpleefficientensemblemodelswiththehelpofreal-worldexamples.

·7.1萬(wàn)字

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Microsoft Power BI Quick Start Guide

MicrosoftPowerBIisacloud-basedservicethathelpsyoueasilyvisualizeandshareinsightsusingyourorganization'sdata.ThisbookwillgetyoustartedwithbusinessintelligenceusingthePowerBItoolset,coveringessentialconceptssuchasinstallation,designingeffectivedatamodels,aswellasbuildingbasicdashboardsandvisualizationstomakeyourdatacometolifeYouwilllearnhowtogetyourdatathewayyouwant–connectingtodatasourcessourcesandhowtocleanyourdatawiththePowerBIQueryEditor.Youwillnextlearnhowtoproperlydesignyourdatamodeltomakeyourdataeasiertoworkwith..YouwillnextlearnhowtoproperlydesignyourdatamodeltonavigatetablerelationshipsandbuildDAXformulastomakeyourdataeasiertoworkwith.Visualizingyourdataisanotherkeyelementofthisbook,andyouwilllearnhowtofollowproperdatavisualizationstylesandenhanceddigitalstorytellingtechniques.Bytheendofthisbook,youwillunderstandhowtoadministeryourorganization'sPowerBIenvironmentsodeploymentcanbemadeseamless,datarefreshescanrunproperly,andsecuritycanbefullyimplemented.

·4.5萬(wàn)字

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Hands-On Agile Software Development with JIRA

Asteamsscaleinsize,projectmanagementcangetverycomplicated.OneofthebesttoolstodealwiththiskindofproblemisJIRA.ThisbookwillstartbyorganizingyourprojectrequirementsandtheprinciplesofAgiledevelopmenttogetyoustarted.YouwillthenbeintroducedtosetupaJIRAaccountandtheJIRAecosystemtohelpyouimplementadashboardforyourteam'sworkandissues.Youwilllearnhowtomanageanyissuesandbugsthatmightemergeinthedevelopmentstage.Goingahead,thebookwillhelpyoubuildreportsandusethemtoplanthereleasesbasedonthestudyofthereports.Towardstheend,youwillcomeacrossworkingwiththegathereddataandcreateadashboardthathelpsyoutracktheproject'sdevelopment.

·2.1萬(wàn)字

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Mastering Kibana 6.x

KibanaisoneofthepopulartoolsamongdataenthusiastsforslicinganddicinglargedatasetsanduncoveringBusinessIntelligence(BI)withthehelpofitsrichandpowerfulvisualizations.Tobeginwith,MasteringKibana6.xquicklyintroducesyoutothefeaturesofKibana6.x,beforeteachingyouhowtocreatesmartdashboardsinnotime.Youwillexploremetricanalyticsandgraphexploration,followedbyunderstandinghowtoquicklycustomizeKibanadashboards.Inadditiontothis,youwilllearnadvancedanalyticssuchasmaps,hits,andlistanalytics.Allthiswillhelpyouenhanceyourskillsinrunningandcomparingmultiplequeriesandfilters,influencingyourdatavisualizationskillsatscale.WithKibana’sTimelionfeature,youcananalyzetimeseriesdatawithhistogramsandstatsanalytics.Bytheendofthisbook,youwillhavecreatedaspeedymachinelearningjobusingX-Packcapabilities.

·5.7萬(wàn)字

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Hands-On Intelligent Agents with OpenAI Gym

Manyreal-worldproblemscanbebrokendownintotasksthatrequireaseriesofdecisionstobemadeoractionstobetaken.Theabilitytosolvesuchtaskswithoutamachinebeingprogrammedrequiresamachinetobeartificiallyintelligentandcapableoflearningtoadapt.Thisbookisaneasy-to-followguidetoimplementinglearningalgorithmsformachinesoftwareagentsinordertosolvediscreteorcontinuoussequentialdecisionmakingandcontroltasks.Hands-OnIntelligentAgentswithOpenAIGymtakesyouthroughtheprocessofbuildingintelligentagentalgorithmsusingdeepreinforcementlearningstartingfromtheimplementationofthebuildingblocksforconfiguring,training,logging,visualizing,testing,andmonitoringtheagent.Youwillwalkthroughtheprocessofbuildingintelligentagentsfromscratchtoperformavarietyoftasks.Intheclosingchapters,thebookprovidesanoverviewofthelatestlearningenvironmentsandlearningalgorithms,alongwithpointerstomoreresourcesthatwillhelpyoutakeyourdeepreinforcementlearningskillstothenextlevel.

·5.9萬(wàn)字

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Learning Jupyter 5

TheJupyterNotebookallowsyoutocreateandsharedocumentsthatcontainlivecode,equations,visualizations,andexplanatorytext.TheJupyterNotebooksystemisextensivelyusedindomainssuchasdatacleaningandtransformation,numericalsimulation,statisticalmodeling,andmachinelearning.LearningJupyter5willhelpyougettogripswithinteractivecomputingusingreal-worldexamples.ThebookstartswithadetailedoverviewoftheJupyterNotebooksystemanditsinstallationindifferentenvironments.Next,youwilllearntointegratetheJupytersystemwithdifferentprogramminglanguagessuchasR,Python,Java,JavaScript,andJulia,andexplorevariousversionsandpackagesthatarecompatiblewiththeNotebooksystem.Movingahead,youwillmasterinteractivewidgetsandnamespacesandworkwithJupyterinamulti-usermode.Bytheendofthisbook,youwillhaveusedJupyterwithabigdatasetandbeabletoapplyallthefunctionalitiesyou’veexploredthroughoutthebook.YouwillalsohavelearnedallabouttheJupyterNotebookandbeabletostartperformingdatatransformation,numericalsimulation,anddatavisualization.

·3.6萬(wàn)字

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Artificial Intelligence for Robotics

ArtificialIntelligenceforRoboticsstartswithanintroductiontoRobotOperatingSystems(ROS),Python,roboticfundamentals,andthesoftwareandtoolsthatarerequiredtostartoutwithrobotics.Youwilllearnroboticsconceptsthatwillbeusefulformakingdecisions,alongwithbasicnavigationskills.Asyoumakeyourwaythroughthechapters,youwilllearnaboutobjectrecognitionandgeneticalgorithms,whichwillteachyourrobottoidentifyandpickupanirregularobject.Withplentyofusecasesthroughout,youwillexplorenaturallanguageprocessing(NLP)andmachinelearningtechniquestofurtherenhanceyourrobot.Intheconcludingchapters,youwilllearnaboutpathplanningandgoal-orientedprogramming,whichwillhelpyourrobotprioritizetasks.Bytheendofthisbook,youwillhavelearnedtogiveyourrobotanartificialpersonalityusingsimulatedintelligence.

·9.7萬(wàn)字

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D3.js Quick Start Guide

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.

·2萬(wàn)字

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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.

·3萬(wàn)字

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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(wàn)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.

·7萬(wàn)字

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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(wàn)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(wàn)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(wàn)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(wàn)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.

·4萬(wàn)字

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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.

·5.5萬(wàn)字

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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(wàn)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(wàn)字

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Network Security with pfSense

Hands-On Ensemble Learning with R

Microsoft Power BI Quick Start Guide

Hands-On Agile Software Development with JIRA

Mastering Kibana 6.x

Hands-On Intelligent Agents with OpenAI Gym

Learning Jupyter 5

Artificial Intelligence for Robotics

D3.js Quick Start Guide

MongoDB 4 Quick Start Guide

Getting Started with Tableau 2018.x

Effective DevOps with AWS

Keras Reinforcement Learning Projects

Redash v5 Quick Start Guide

Matplotlib 3.0 Cookbook

Hands-On Software Engineering with Python

Apache Hadoop 3 Quick Start Guide

Machine Learning in Java

Keras Deep Learning Cookbook

Hands-On Data Science with SQL Server 2017