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LMMS：A Complete Guide to Dance Music Production Beginner's Guide

Writteninastepbysteptutorialstyle,learningcomesasaresultofcreatingacompletedancemusictrack,alongwiththeexplanationsthatfolloweachstage.Youhaveacomputerandalovefordanceandelectronicmusic.Maybeyou’vebeentosomeclubs,andtheenergyofelectronicdancemusichasyoucompletelyunderitsspell.YouseeaDJspinning,andeveryoneisdancing.It’sinfectious.Youwanttomakemusicthataffectspeoplethatway.TodaytheopensourcecommunityhasofferedyouLMMS.Readthisbook,andyou’llbeshownaprocesstocreatinggreatdancemusic.Thisbookisgoingtoconnectthedotsifyouhavealreadystartedmakingdancemusic,andprovideaverysolidfoundationifyouarejustgettingstarted–nomatterwhatyourskilllevelis.

·7.5萬字

R Statistics Cookbook

Risapopularprogramminglanguagefordevelopingstatisticalsoftware.Thisbookwillbeausefulguidetosolvingcommonandnot-so-commonchallengesinstatistics.Withthisbook,you'llbeequippedtoconfidentlyperformessentialstatisticalproceduresacrossyourorganizationwiththehelpofcutting-edgestatisticaltools.You'llstartbyimplementingdatamodeling,dataanalysis,andmachinelearningtosolvereal-worldproblems.You'llthenunderstandhowtoworkwithnonparametricmethods,mixedeffectsmodels,andhiddenMarkovmodels.Thisbookcontainsrecipesthatwillguideyouinperformingunivariateandmultivariatehypothesistests,severalregressiontechniques,andusingrobusttechniquestominimizetheimpactofoutliersindata.You'llalsolearnhowtousethecaretpackageforperformingmachinelearninginR.Furthermore,thisbookwillhelpyouunderstandhowtointerpretchartsandplotstogetinsightsforbetterdecisionmaking.Bytheendofthisbook,youwillbeabletoapplyyourskillstostatisticalcomputationsusingR3.5.Youwillalsobecomewell-versedwithawidearrayofstatisticaltechniquesinRthatareextensivelyusedinthedatascienceindustry.

Architecting Cloud Computing Solutions

IfyouareanITAdministrator,CloudArchitect,oraSolutionArchitectkeentobenefitfromcloudadoptionforyourorganization,thenthisbookisforyou.Smallbusinessowners,managers,orconsultantswillalsofindthisbookuseful.NopriorknowledgeofCloudcomputingisneeded.

PostgreSQL High Performance Cookbook

IfyouareadeveloperoradministratorwithlimitedPostgreSQLknowledgeandwanttodevelopyourskillswiththisgreatopensourcedatabase,thenthisbookisidealforyou.Learninghowtoenhancethedatabaseperformanceisalwaysanexcitingtopictoeveryone,andthisbookwillshowyouenoughwaystoenhancethedatabaseperformance.

Machine Learning with Core ML

MachineLearningwithCoreMLisforyouifyouareanintermediateiOSdeveloperinterestedinapplyingmachinelearningtoyourmobileapps.ThisbookisalsoforthosewhoaremachinelearningdevelopersordeeplearningpractitionerswhowanttobringthepowerofneuralnetworksintheiriOSapps.Someexposuretomachinelearningconceptswouldbebeneficialbutnotessential,asthisbookactsasalaunchpadintotheworldofmachinelearningfordevelopers.

ZigBee無線通信技術(shù)應(yīng)用開發(fā)

本書主要介紹ZigBee無線通信技術(shù)的應(yīng)用開發(fā)。全書首先深入淺出地介紹ZigBee無線通信技術(shù)原理；然后進(jìn)行案例開發(fā)實踐，每個案例均有開發(fā)場景、詳細(xì)的軟/硬件設(shè)計和功能實現(xiàn)過程；最后進(jìn)行總結(jié)拓展，將理論學(xué)習(xí)和開發(fā)實踐結(jié)合起來。本書既可作為高等院校相關(guān)專業(yè)的教材或教學(xué)參考書，也可供相關(guān)領(lǐng)域的工程技術(shù)人員查閱。對于嵌入式和物聯(lián)網(wǎng)系統(tǒng)的開發(fā)愛好者來講，本書也是一本深入淺出、貼近實際應(yīng)用的技術(shù)讀物。本書配有詳盡的開發(fā)代碼和PPT課件，讀者可登錄華信教育資源網(wǎng)（www.hxedu.com.cn）免費注冊后下載。

·6.6萬字

Build Supercomputers with Raspberry Pi 3

Thisbooktargetshobbyistsandenthusiastswhowanttoexplorebuildingsupercomputerswithmicrocomputers.Researcherswillalsofindthisbookuseful.Priorprogrammingknowledgeisnecessary;knowledgeofsupercomputersisnot.

·3.3萬字

Kubernetes for Developers

Ifyouareafull-stackorback-endsoftwaredevelopersinterested,curious,orbeingaskedtotestaswellasrunthecodeyou'recreating,youcanleverageKubernetestomakethatprocesssimplerandconsistentregardlessofwhereyoudeploy.Ifyou'relookingfordeveloperfocusedexamplesinNodeJSandPythonforhowtobuild,test,deploy,andrunyourcodewithKubernetes,thisisperfectforyou.

·7.3萬字

Appcelerator Titanium Smartphone App Development Cookbook（Second Edition）

ThisbookisanessentialforanydeveloperlearningorusingJavaScriptwhowantstowritenativeUIapplicationsforiOSandAndroid.NoknowledgeofObjective-C,SwiftandJavaisrequiredandyou’llquicklybedevelopingnative,cross-platformapps,inJavaScript!

·7.2萬字

Mastering Ceph

IfyouareadeveloperandanadministratorwhohasdeployedaCephclusterbeforeandarecuriousaboutsomeofthemostadvancedfeaturesinordertoimproveperformancethenthisbookisforyou

·5.1萬字

Hands-On Ensemble Learning with R

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

Hands-On Predictive Analytics with Python

Predictiveanalyticsisanappliedfieldthatemploysavarietyofquantitativemethodsusingdatatomakepredictions.Itinvolvesmuchmorethanjustthrowingdataontoacomputertobuildamodel.Thisbookprovidespracticalcoveragetohelpyouunderstandthemostimportantconceptsofpredictiveanalytics.Usingpractical,step-by-stepexamples,webuildpredictiveanalyticssolutionswhileusingcutting-edgePythontoolsandpackages.Thebook'sstep-by-stepapproachstartsbydefiningtheproblemandmovesontoidentifyingrelevantdata.Wewillalsobeperformingdatapreparation,exploringandvisualizingrelationships,buildingmodels,tuning,evaluating,anddeployingmodel.EachstagehasrelevantpracticalexamplesandefficientPythoncode.YouwillworkwithmodelssuchasKNN,RandomForests,andneuralnetworksusingthemostimportantlibrariesinPython'sdatasciencestack:NumPy,Pandas,Matplotlib,Seaborn,Keras,Dash,andsoon.Inadditiontohands-oncodeexamples,youwillfindintuitiveexplanationsoftheinnerworkingsofthemaintechniquesandalgorithmsusedinpredictiveanalytics.Bytheendofthisbook,youwillbeallsettobuildhigh-performancepredictiveanalyticssolutionsusingPythonprogramming.

R Machine Learning Projects

Risoneofthemostpopularlanguageswhenitcomestoperformingcomputationalstatistics(statisticalcomputing)easilyandexploringthemathematicalsideofmachinelearning.Withthisbook,youwillleveragetheRecosystemtobuildefficientmachinelearningapplicationsthatcarryoutintelligenttaskswithinyourorganization.Thisbookwillhelpyoutestyourknowledgeandskills,guidingyouonhowtobuildeasilythroughtocomplexmachinelearningprojects.Youwillfirstlearnhowtobuildpowerfulmachinelearningmodelswithensemblestopredictemployeeattrition.Next,you’llimplementajokerecommendationengineandlearnhowtoperformsentimentanalysisonAmazonreviews.You’llalsoexploredifferentclusteringtechniquestosegmentcustomersusingwholesaledata.Inadditiontothis,thebookwillgetyouacquaintedwithcreditcardfrauddetectionusingautoencoders,andreinforcementlearningtomakepredictionsandwinonacasinoslotmachine.Bytheendofthebook,youwillbeequippedtoconfidentlyperformcomplextaskstobuildresearchandcommercialprojectsforautomatedoperations.

Moodle 2.0 Course Conversion（Second Edition）

Withclearinstructionsandplentyofscreenshots,thisbookprovidesallthesupportandguidanceyouwillneedasyoubegintoconvertyourteachingtoMoodle.Step-by-steptutorialsusereal-worldexamplestoshowyouhowtoconverttoMoodleinthemostefficientandeffectivewayspossible.MoodleCourseConversioncarefullyillustrateshowMoodlecanbeusedtoteachcontentandideasandclearlydemonstratestheadvantagesofdoingso.Thisbookisforteachers,tutors,andlecturerswhoalreadyhavealargebodyofteachingmaterialandwanttouseMoodletoenhancetheircourse,ratherthandevelopingbrandnewones.Youwon’tneedexperiencewithMoodle,butwillneedteacher-accesstoaready-installedMoodlesite.TeacherswithsomeexperienceofMoodle,whowanttofocusonincorporatingexistingcoursematerialswillalsofindthisbookveryuseful.

Mastering MongoDB 3.x

MasteringMongoDBisabookfordatabasedevelopers,architects,andadministratorswhowanttolearnhowtouseMongoDBmoreeffectivelyandproductively.Ifyouhaveexperiencein,andareinterestedinworkingwith,NoSQLdatabasestobuildappsandwebsites,thenthisbookisforyou.

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.

·7萬字

Advanced Deep Learning with Keras

Recentdevelopmentsindeeplearning,includingGANs,VariationalAutoencoders,andDeepReinforcementLearning,arecreatingimpressiveAIresultsinournewsheadlines-suchasAlphaGoZerobeatingworldchesschampions,andgenerativeAIthatcancreateartpaintingsthatsellforover$400kbecausetheyaresohuman-like.AdvancedDeepLearningwithKerasisacomprehensiveguidetotheadvanceddeeplearningtechniquesavailabletoday,soyoucancreateyourowncutting-edgeAI.UsingKerasasanopen-sourcedeeplearninglibrary,you'llfindhands-onprojectsthroughoutthatshowyouhowtocreatemoreeffectiveAIwiththelatesttechniques.ThejourneybeginswithanoverviewofMLPs,CNNs,andRNNs,whicharethebuildingblocksforthemoreadvancedtechniquesinthebook.You’lllearnhowtoimplementdeeplearningmodelswithKerasandTensorflow,andmoveforwardstoadvancedtechniques,asyouexploredeepneuralnetworkarchitectures,includingResNetandDenseNet,andhowtocreateAutoencoders.YouthenlearnallaboutGenerativeAdversarialNetworks(GANs),andhowtheycanopennewlevelsofAIperformance.VariationalAutoEncoders(VAEs)areimplemented,andyou’llseehowGANsandVAEshavethegenerativepowertosynthesizedatathatcanbeextremelyconvincingtohumans-amajorstrideforwardformodernAI.Tocompletethissetofadvancedtechniques,you'lllearnhowtoimplementDeepReinforcementLearning(DRL)suchasDeepQ-LearningandPolicyGradientMethods,whicharecriticaltomanymodernresultsinAI.

·7萬字

Expert AWS Development

ThisbooktargetsdeveloperswhowouldliketobuildandmanagewebandmobileapplicationsandservicesontheAWSplatform.Ifyouareanarchitectyouwillbeabletotakeadeepdiveanduseexamplesthatcanbereadilyappliedtorealworldscenarios.Somepriorprogrammingexperienceisassumedalongwithfamiliarityofcloudcomputing.