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Ansible Quick Start Guide

ConfigurationManagement(CM)toolshelpadministratorsreducetheirworkload.AnsibleisoneofthebestConfigurationManagementtools,andcanactasanorchestratorformanagingotherCMs.ThisbookistheeasiestwaytolearnhowtouseAnsibleasanorchestratorandaConfigurationManagementtool.Withthisbook,youwilllearnhowtocontrolandmonitorcomputerandnetworkinfrastructuresofanysize,physicalorvirtual.YouwillbeginbylearningabouttheAnsibleclient-serverarchitecture.Togetstarted,youwillsetupandconfigureanAnsibleserver.YouwillthengothroughthemajorfeaturesofAnsible:PlaybookandInventory.Then,wewilllookatAnsiblesystemsandnetworkmodules.YouwillthenuseAnsibletoenableinfrastructureautomatedconfigurationmanagement,followedbybestpracticesforusingAnsiblerolesandcommunitymodules.Finally,youwillexploreAnsiblefeaturessuchasAnsibleVault,AnsibleContainers,andAnsibleplugins.

·3.9萬字

Learning QGIS（Third Edition）

Thisbookisgreatforusers,developers,andconsultantswhoknowthebasicfunctionsandprocessesofGISandwanttolearntouseQGIStoanalyzegeospatialdataandcreaterichmappingapplications.IfyouwanttotakeadvantageofthewiderangeoffunctionalitiesthatQGISoffers,thenthisisthebookforyou.

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

TensorFlow Reinforcement Learning Quick Start Guide

Advancesinreinforcementlearningalgorithmshavemadeitpossibletousethemforoptimalcontrolinseveraldifferentindustrialapplications.Withthisbook,youwillapplyReinforcementLearningtoarangeofproblems,fromcomputergamestoautonomousdriving.ThebookstartsbyintroducingyoutoessentialReinforcementLearningconceptssuchasagents,environments,rewards,andadvantagefunctions.Youwillalsomasterthedistinctionsbetweenon-policyandoff-policyalgorithms,aswellasmodel-freeandmodel-basedalgorithms.YouwillalsolearnaboutseveralReinforcementLearningalgorithms,suchasSARSA,DeepQ-Networks(DQN),DeepDeterministicPolicyGradients(DDPG),AsynchronousAdvantageActor-Critic(A3C),TrustRegionPolicyOptimization(TRPO),andProximalPolicyOptimization(PPO).ThebookwillalsoshowyouhowtocodethesealgorithmsinTensorFlowandPythonandapplythemtosolvecomputergamesfromOpenAIGym.Finally,youwillalsolearnhowtotrainacartodriveautonomouslyintheTorcsracingcarsimulator.Bytheendofthebook,youwillbeabletodesign,build,train,andevaluatefeed-forwardneuralnetworksandconvolutionalneuralnetworks.Youwillalsohavemasteredcodingstate-of-the-artalgorithmsandalsotrainingagentsforvariouscontrolproblems.

Learning CoreOS

ThisbookisforcloudorenterpriseadministratorsandapplicationdeveloperswhowouldliketogainknowledgeaboutCoreOStodeployacloudapplicationormicro-servicesonaclusterofcloudservers.Itisalsoaimedatadministratorswithbasicnetworkingexperience.YoudonotneedtohaveanyknowledgeofCoreOS.

Network Science with Python and NetworkX Quick Start Guide

NetworkXisaleadingfreeandopensourcepackageusedfornetworksciencewiththePythonprogramminglanguage.NetworkXcantrackpropertiesofindividualsandrelationships,findcommunities,analyzeresilience,detectkeynetworklocations,andperformawiderangeofimportanttasks.Withtherecentreleaseofversion2,NetworkXhasbeenupdatedtobemorepowerfulandeasytouse.Ifyou’readatascientist,engineer,orcomputationalsocialscientist,thisbookwillguideyouinusingthePythonprogramminglanguagetogaininsightsintoreal-worldnetworks.Startingwiththefundamentals,you’llbeintroducedtothecoreconceptsofnetworkscience,alongwithexamplesthatusereal-worlddataandPythoncode.Thisbookwillintroduceyoutotheoreticalconceptssuchasscale-freeandsmall-worldnetworks,centralitymeasures,andagent-basedmodeling.You’llalsobeabletolookforscale-freenetworksinrealdataandvisualizeanetworkusingcircular,directed,andshelllayouts.Bytheendofthisbook,you’llbeabletochooseappropriatenetworkrepresentations,useNetworkXtobuildandcharacterizenetworks,anduncoverinsightswhileworkingwithreal-worldsystems.

智能鼠原理與制作（進階篇）

本書為中英雙語版，以天津啟誠偉業科技有限公司提供的TQD-Micromouse-JD智能鼠為載體，是智能微型運動裝置（Micromouse）技術與應用系列叢書的進階篇。本書以真實工程項目為背景，通過“基礎知識篇”、“綜合實踐篇”和“拓展競技篇”三篇講述了智能鼠的發展、硬件、開發環境、基本操作；智能鼠高級功能、智能鼠實戰任務；智能鼠的路徑規劃和行為決策算法、智能鼠路徑規劃原理、智能鼠走迷宮程序設計等。同時，本書附錄提供了國際Micromouse走迷宮競賽相關知識、智能鼠迷宮圖庫、專業詞匯中英文對照表、國際實訓課程標準等豐富資源。本書在重要的知識點、能力點和素養點上，配有豐富的視頻、圖片、文本等資源，學習者可以通過掃描書中二維碼獲取相關信息。本書適合作為職業院校相應專業綜合與創新實踐教學的教材，還可作為相關工程技術人員培訓用書及智能鼠愛好者參考用書。

·4萬字

Supervised Machine Learning with Python

Supervisedmachinelearningisusedinawiderangeofsectors(suchasfinance,onlineadvertising,andanalytics)becauseitallowsyoutotrainyoursystemtomakepricingpredictions,campaignadjustments,customerrecommendations,andmuchmorewhilethesystemself-adjustsandmakesdecisionsonitsown.Asaresult,it'scrucialtoknowhowamachine"learns"underthehood.Thisbookwillguideyouthroughtheimplementationandnuancesofmanypopularsupervisedmachinelearningalgorithmswhilefacilitatingadeepunderstandingalongtheway.You’llembarkonthisjourneywithaquickoverviewandseehowsupervisedmachinelearningdiffersfromunsupervisedlearning.Next,weexploreparametricmodelssuchaslinearandlogisticregression,non-parametricmethodssuchasdecisiontrees,andvariousclusteringtechniquestofacilitatedecision-makingandpredictions.Asweproceed,you'llworkhands-onwithrecommendersystems,whicharewidelyusedbyonlinecompaniestoincreaseuserinteractionandenrichshoppingpotential.Finally,you’llwrapupwithabriefforayintoneuralnetworksandtransferlearning.Bytheendofthisbook,you’llbeequippedwithhands-ontechniquesandwillhavegainedthepracticalknow-howyouneedtoquicklyandpowerfullyapplyalgorithmstonewproblems.

Cisco ACI Cookbook

Ifyouareanetworkadministrator,systemadministrator,orengineerandareawareofthebasicsofCiscoACIbutwanttostartusingittoautomateyourtasks,thenthisbookisforyou

Building a BeagleBone Black Super Cluster

Ifyouareaprogrammer,scientist,orsomeoneinterestedinmoderncomputertechnologythatgoesbeyondthetypicalPC,thenthisbookwillshowyoutheoutstandingpossibilitiesofclustercomputingwithmodernembeddedsystemsbasedonARMarchitecture.Whetheryouneedahigh-speedorlow-costscalableclusterforsimulationsorwanttotrysomethingnew,thisbookistherightguideforyou.

Cisco UCS Cookbook

Thisbookisforcompetentsystem/networkorstorageadministratorswhoareworkingwithCiscoUCS,butnowwanttolearnnewwaystocomputeUCS.

Hands-On Exploratory Data Analysis with R

Hands-OnExploratoryDataAnalysiswithRwillhelpyoubuildnotjustafoundationbutalsoexpertiseintheelementarywaystoanalyzedata.Youwilllearnhowtounderstandyourdataandsummarizeitsmaincharacteristics.You'llalsouncoverthestructureofyourdata,andyou'lllearngraphicalandnumericaltechniquesusingtheRlanguage.Thisbookcoverstheentireexploratorydataanalysis(EDA)process—datacollection,generatingstatistics,distribution,andinvalidatingthehypothesis.Asyouprogressthroughthebook,youwilllearnhowtosetupadataanalysisenvironmentwithtoolssuchasggplot2,knitr,andRMarkdown,usingtoolssuchasDOEScatterPlotandSML2010formultifactor,optimization,andregressiondataproblems.Bytheendofthisbook,youwillbeabletosuccessfullycarryoutapreliminaryinvestigationonanydataset,identifyhiddeninsights,andpresentyourresultsinabusinesscontext.

Mastering BeagleBone Robotics

Ifyouwantasimpleguidetobuildingcomplexrobots,thenthisbookisforyou.You'llneedsomeprogrammingknowledgeandexperienceworkingwithmechanicalsystems.

Intel Edison Projects

Ifyouareahobbyist,robotengineer,IoTenthusiast,programmer,ordeveloperwhowantstocreateautonomousprojectswithIntelEdison,thenthisbookisforyou.Priorprogrammingknowledgewouldbebeneficial.

TensorFlow 2.0 Quick Start Guide

TensorFlowisoneofthemostpopularmachinelearningframeworksinPython.Withthisbook,youwillimproveyourknowledgeofsomeofthelatestTensorFlowfeaturesandwillbeabletoperformsupervisedandunsupervisedmachinelearningandalsotrainneuralnetworks.Aftergivingyouanoverviewofwhat'snewinTensorFlow2.0Alpha,thebookmovesontosettingupyourmachinelearningenvironmentusingtheTensorFlowlibrary.Youwillperformpopularsupervisedmachinelearningtasksusingtechniquessuchaslinearregression,logisticregression,andclustering.Youwillgetfamiliarwithunsupervisedlearningforautoencoderapplications.Thebookwillalsoshowyouhowtotraineffectiveneuralnetworksusingstraightforwardexamplesinavarietyofdifferentdomains.Bytheendofthebook,youwillhavebeenexposedtoalargevarietyofmachinelearningandneuralnetworkTensorFlowtechniques.

Internet of Things with Raspberry Pi 3

Ifyou'readeveloperorelectronicsengineerandarecuriousabouttheInternetofThings,thenthisisthebookforyou.Withonlyarudimentaryunderstandingofelectronics,theRaspberryPi,orsimilarcredit-cardsizedcomputers,andsomeprogrammingexperience,youwillbetaughttodevelopstate-of-the-artsolutionsfortheInternetofThingsinaninstant.

Hands-On Geospatial Analysis with R and QGIS

Managingspatialdatahasalwaysbeenchallengingandit'sgettingmorecomplexasthesizeofdataincreases.Spatialdataisactuallybigdataandyouneeddifferenttoolsandtechniquestoworkyourwayaroundtomodelandcreatedifferentworkflows.RandQGIShavepowerfulfeaturesthatcanmakethisjobeasier.ThisbookisyourcompanionforapplyingmachinelearningalgorithmsonGISandremotesensingdata.You’llstartbygaininganunderstandingofthenatureofspatialdataandinstallingRandQGIS.Then,you’lllearnhowtousedifferentRpackagestoimport,export,andvisualizedata,beforedoingthesameinQGIS.Screenshotsareincludedtoeaseyourunderstanding.Movingon,you’lllearnaboutdifferentaspectsofmanagingandanalyzingspatialdata,beforedivingintoadvancedtopics.You’llcreatepowerfuldatavisualizationsusingggplot2,ggmap,raster,andotherpackagesofR.You’lllearnhowtouseQGIS3.2.2tovisualizeandmanage(create,edit,andformat)spatialdata.DifferenttypesofspatialanalysisarealsocoveredusingR.Finally,you’llworkwithlandslidedatafromBangladeshtocreatealandslidesusceptibilitymapusingdifferentmachinelearningalgorithms.Byreadingthisbook,you’lltransitionfrombeingabeginnertoanintermediateuserofGISandremotesensingdatainnotime.

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.

R Deep Learning Projects

MachinelearningprofessionalsanddatascientistslookingtomasterdeeplearningbyimplementingpracticalprojectsinRwillfindthisbookausefulresource.AknowledgeofRprogrammingandthebasicconceptsofdeeplearningisrequiredtogetthebestoutofthisbook.