财神像应该摆在家里的什么位置

Thisbookisfordatascientists,machinelearninganddeeplearningpractitioners,CognitiveandArtificialIntelligenceenthusiastswhowanttomoveonestepfurtherinbuildingConvolutionalNeuralNetworks.Gethands-onexperiencewithextremedatasetsanddifferentCNNarchitecturestobuildefficientandsmartConvNetmodels.BasicknowledgeofdeeplearningconceptsandPythonprogramminglanguageisexpected.

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Unity 5.x Game AI Programming Cookbook

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Google Visualization API Essentials

Thisbookisastep-by-steptutorialfullofdiagrams,coreconceptexplanations,bestpracticetips,andlinkstoworkingbookexamples.Thisbookwillshowyouhowcreateweb-readydatavisualizationsusingGoogle’sinfrastructure.SomeHTMLknowledgeistheonlyrequirement,althoughsomeJavaScriptknowledgeisalsohelpful.

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數據庫查詢優化器的藝術：原理解析與SQL性能優化

本書是數據庫查詢優化領域的里程碑之作，由Oracle公司MySQL全球開發團隊、資深專家撰寫，作者有10余年數據庫內核和查詢優化器研究經驗。數據庫領域泰斗王珊教授親自作序推薦，PostgreSQL中國社區和中國用戶會發起人以及來自Oracle、新浪、網易、華為等企業的數位資深數據庫專家聯袂推薦。從原理角度深度解讀和展示數據庫查詢優化器的技術細節和全貌；從源碼實現角度全方位深入分析MySQL和PostgreSQL兩大主流開源數據庫查詢優化器的實現原理；從工程實踐的角度對比了兩大數據庫的查詢優化器的功能異同和實現異同。它是所有數據開發工程師、內核工程師、DBA以及其他數據庫相關工作人員值得反復研讀的一本書。

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Hands-On Meta Learning with Python

Metalearningisanexcitingresearchtrendinmachinelearning,whichenablesamodeltounderstandthelearningprocess.UnlikeotherMLparadigms,withmetalearningyoucanlearnfromsmalldatasetsfaster.Hands-OnMetaLearningwithPythonstartsbyexplainingthefundamentalsofmetalearningandhelpsyouunderstandtheconceptoflearningtolearn.Youwilldelveintovariousone-shotlearningalgorithms,likesiamese,prototypical,relationandmemory-augmentednetworksbyimplementingtheminTensorFlowandKeras.Asyoumakeyourwaythroughthebook,youwilldiveintostate-of-the-artmetalearningalgorithmssuchasMAML,Reptile,andCAML.YouwillthenexplorehowtolearnquicklywithMeta-SGDanddiscoverhowyoucanperformunsupervisedlearningusingmetalearningwithCACTUs.Intheconcludingchapters,youwillworkthroughrecenttrendsinmetalearningsuchasadversarialmetalearning,taskagnosticmetalearning,andmetaimitationlearning.Bytheendofthisbook,youwillbefamiliarwithstate-of-the-artmetalearningalgorithmsandabletoenablehuman-likecognitionforyourmachinelearningmodels.

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Learn Unity ML-Agents：Fundamentals of Unity Machine Learning

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Game Development with Swift

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數字化轉型架構與方法

本圖書注重數字化轉型的根本任務、核心路徑、關鍵驅動要素。從價值體系優化、創新和重構，新型能力建設，數據要素驅動提出系統化推進數字化轉型的一整套參考架構，提出能力單元的模型及建設要點，具有系統性、針對性、可執行性，具有很高的應用價值。本圖書從按照價值體系優化、創新和重構的要求提出數字化轉型的主要視角，以新型能力建設為主線提出數字化轉型的過程方法，圍繞數據要素驅動作用的逐步發揮提出數字化轉型的發展階段要求，構建一套數字化轉型參考架構，從而支持相關各方更加系統化、體系化、全局化推進數字化轉型這一復雜巨系統工程。本圖書面向開展數字化轉型的企業及提供數字化轉型服務的各類組織。

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Gideros Mobile Game Development

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Neural Network Programming with TensorFlow

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Near Field Communication with Android Cookbook

Aneasy-to-followguide,fullofhands-onexamplesofandreal-worldapplications.Eachrecipeisexplainedandplacedincontext.IfyouwanttolearnhowtocreateNFC-enabledAndroidapplications,thisisthebookforyou.PerhapsyoualreadyknowabitaboutAndroidapplicationdevelopmentsbuthaveneverusedNFC,orperhapsyouknowalittleaboutNFCandroiddevelopmentbutwantsomemoreadvancedfeaturesandexamples.Ineithercase,thisbookwillgetyouupandrunningquickly.YouareexpectedtohaveAndroidprogrammingknowledge.

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Hands-On Big Data Analytics with PySpark

ApacheSparkisanopensourceparallel-processingframeworkthathasbeenaroundforquitesometimenow.OneofthemanyusesofApacheSparkisfordataanalyticsapplicationsacrossclusteredcomputers.Inthisbook,youwillnotonlylearnhowtouseSparkandthePythonAPItocreatehigh-performanceanalyticswithbigdata,butalsodiscovertechniquesfortesting,immunizing,andparallelizingSparkjobs.Youwilllearnhowtosourcedatafromallpopulardatahostingplatforms,includingHDFS,Hive,JSON,andS3,anddealwithlargedatasetswithPySparktogainpracticalbigdataexperience.Thisbookwillhelpyouworkonprototypesonlocalmachinesandsubsequentlygoontohandlemessydatainproductionandatscale.ThisbookcoversinstallingandsettingupPySpark,RDDoperations,bigdatacleaningandwrangling,andaggregatingandsummarizingdataintousefulreports.YouwillalsolearnhowtoimplementsomepracticalandproventechniquestoimprovecertainaspectsofprogrammingandadministrationinApacheSpark.Bytheendofthebook,youwillbeabletobuildbigdataanalyticalsolutionsusingthevariousPySparkofferingsandalsooptimizethemeffectively.

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Hands-On Machine Learning with Microsoft Excel 2019

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R Object-oriented Programming

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Unity for Architectural Visualization

AtutorialpackedwithpracticalexamplesandscreenshotstohelpyoubecomeanexpertinarchitecturalvisualizationusingUnity.Thisbookiswrittenforstudentsandprofessionalarchitectswhoknowhowtomodelbuildingsin3Dandhaveaneedtoturntheirdesignintoaninteractivemodel,evenifyouhaveneverusedUnitybefore.Experiencewithvisualizationandprogrammingwillbehelpful,butisnotrequiredtofollowalong.Youwilllearnallthebasicsthroughoutwiththehelpofstep-by-stepexamples.ThemajorityoftheexamplesworkfineinanyrecentversionoftheUnitysoftware,onWindowsorMac,butoccasionallyfeaturesoftheProversionarerequired.

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Implementing DevOps with Microsoft Azure

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Creating Dynamic UIs with Android Fragments（Second Edition）

ThisbookisfordeveloperswithabasicunderstandingofAndroidprogrammingwhowouldliketoimprovetheappearanceandusabilityoftheirapplicationsbycreatingamoreinteractiveuserexperienceanddynamicallyadaptiveUIs;providingbettersupportfortabletsandsmartphonesinasingleapp;andreducingthecomplexityofmanagingappUIs.

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Node.js High Performance

Node.jsisatoolwritteninC,whichallowsyoutouseJavaScriptontheserver-side.HighperformanceonaplatformlikeNode.jsisknowinghowtotakeadvantageofeveryaspectofyourhardware,helpingmemorymanagementactatitsbest,andcorrectlydecidinghowtoarchitectacomplexapplication.Donotpanicifyourapplicationsstartconsumingalotofmemory;insteadspottheleakandsolveitfastwithNode.jsbymonitoringandstoppingitbeforeitbecomesanissue.Thisbookwillprovideyouwiththeskillsyouneedtoanalyzetheperformanceofyourapplicationandmonitortheaspectsthatcanandshouldbe.StartingwithperformanceanalysisconceptsandtheirimportanceinhelpingNode.jsdeveloperseliminateperformancebottlenecks,thisbookwilltakeyouthroughdevelopmentpatternstoavoidperformancepenalties.Youwilllearntheimportanceofgarbagecollectionanditsbehaviour,anddiscoverhowtoprofileyourprocessor,allowingbetterperformanceandscalability.Youwillthenlearnaboutthedifferenttypesofdatastoragemethods.Movingon,youwillgettogripswithtestingandbenchmarkingapplicationstoavoidunknownapplicationtestzones.Lastly,youwillexplorethelimitsthatexternalcomponentscanimposeinyourapplicationintheformofbottlenecks.Byfollowingtheexamplesineachchapter,youwilldiscovertipstogettingbetterperformingapplicationsbyavoidinganti-patternsandstretchingthelimitsofyourenvironmentasmuchaspossible.

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Learning Proxmox VE

Thisbookisintendedforserverandsystemadministratorsandengineerswhoareeagertotakeadvantageofthepotentialofvirtualmachinesandcontainerstomanageserversmoreefficientlyandmakethebestuseofresources,fromenergyconsumptiontohardwareutilizationandphysicalrealestate

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Unity AI Programming Essentials

ThisbookisaimedatdeveloperswhoknowthebasicsofgamedevelopmentwithUnityandwanttolearnhowtoaddAItotheirgames.YoudonotneedanypreviousAIknowledge;thisbookwillexplainalltheessentialAIconceptsandshowyouhowtoaddandusetheminyourgames.

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Practical Convolutional Neural Networks

Unity 5.x Game AI Programming Cookbook

Google Visualization API Essentials

數據庫查詢優化器的藝術：原理解析與SQL性能優化

Hands-On Meta Learning with Python

Learn Unity ML-Agents：Fundamentals of Unity Machine Learning

Game Development with Swift

數字化轉型 架構與方法

Gideros Mobile Game Development

Neural Network Programming with TensorFlow

Near Field Communication with Android Cookbook

Hands-On Big Data Analytics with PySpark

Hands-On Machine Learning with Microsoft Excel 2019

R Object-oriented Programming

Unity for Architectural Visualization

Implementing DevOps with Microsoft Azure

Creating Dynamic UIs with Android Fragments（Second Edition）

Node.js High Performance

Learning Proxmox VE

Unity AI Programming Essentials

數字化轉型架構與方法