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Oracle SOA Governance 11g Implementation

Thisbookisapracticaltutorial,withlotsofstep-by-stepinstructionsforachievingSOAGovernancebyimplementingthecomponentOracleproducts.ThisbookiswrittenforSOAarchitectsandprojectmanagerswhowanttolearnhowtoimplementOracleSOAGovernance.

RIA開發權威指南

本書共分為九章，第1章主要介紹JavaFX的技術特點以及RIA的現狀與前景；第2章以StepbyStep的方式帶領讀者了解并構建JavaFX的開發環境；第3章到第5章詳細介紹了JavaFXScript的數據類型與語法結構、JavaFXGUI以及相關開發工具；第6章到第8章通過對三個JavaFX項目的講解，來鞏固和實踐之前學到的內容；第9章為JavaFX常見問題的解答。

玩轉PowerPoint

本書用PowerPoint2007版本講解如何使用PPT自帶的圖形設計工具進行圖形設計。是目前市場上第一本全面細致講解PPT圖形設計的圖書。主要內容包括PowerPoint操作基礎、PowerPoint設計基礎、PowerPoint圖形設計、PowerPoint頂級設計四個部分。讀者可以按照本書提供的思路進行設計，首先是簡易的版面設計，讀者馬上就會從中得到樂趣。之后，設計層層深入，越來越有技巧和難度，也越來越有創意。

Mastering Geospatial Analysis with Python

Theaudienceforthisbookincludesstudents,developers,andgeospatialprofessionalswhoneedareferencebookthatcoversGISdatamanagement,analysis,andautomationtechniqueswithcodelibrariesbuiltinPython3.

Android High Performance Programming

ThisbookisaimedatdeveloperswithanadvancedknowledgeofAndroidandwhowanttotesttheirskillsandlearnnewtechniquestoincreasetheperformanceoftheirapplications.WeassumetheyarecomfortableworkingwiththeentireAndroidSDK,andhavebeendoingitforafewyears.TheyneedtobefamiliarwithframeworkssuchasNDKtousenativecode,whichiscrucialforappperformance.

Natural Language Processing and Computational Linguistics

Thisbookisforyouifyouwanttodivein,hands-first,intotheinterestingworldoftextanalysisandNLP,andyou'rereadytoworkwiththerichPythonecosystemoftoolsanddatasetswaitingforyou!

控制與決策系統仿真

本書以實現仿真系統功能、掌握原理方法為目標，在傳統系統仿真課程內容的基礎上，增加了目前科研及學習中常用的數據挖掘及深度學習等決策方法，以及視覺圖像處理的相關內容。本書包括9章，內容涉及MATLAB基礎、Simulink仿真、控制系統仿真、MATLAB文件和數據訪問、智能算法、數據挖掘、圖像處理、深度學習和界面設計及嵌入式仿真。本書內容和章節的設置基于當前控制系統與大數據決策方法融合日益廣泛的現狀與學習需求，強調理論與實踐相結合，通過案例和習題等幫助讀者理解并快速掌握控制理論、智能決策的基礎方法、MATLAB/Simulink及Python等編程工具的使用，將人工智能等技術從抽象概念到編程實現展現在讀者面前。本書適合作為高校自動化、電子工程、計算機及相關專業的教材，也適合作為從事系統仿真工作的技術人員的參考書。

Learning ServiceNow

ThisbookisforITprofessionalsandadministratorswhoareplanningtoorarealreadytryingtoimplementServiceNowintheirorganizationforEnterpriseITservicemanagementtasks.Somefamiliaritywithwebtechnologies(JavaScript)wouldbehelpful.Systemadministrationexperienceisnecessary.

Hands-On Artificial Intelligence for Beginners

VirtualAssistants,suchasAlexaandSiri,processourrequests,Google'scarshavestartedtoreadaddresses,andAmazon'spricesandNetflix'srecommendedvideosaredecidedbyAI.ArtificialIntelligenceisoneofthemostexcitingtechnologiesandisbecomingincreasinglysignificantinthemodernworld.Hands-OnArtificialIntelligenceforBeginnerswillteachyouwhatArtificialIntelligenceisandhowtodesignandbuildintelligentapplications.ThisbookwillteachyoutoharnesspackagessuchasTensorFlowinordertocreatepowerfulAIsystems.YouwillbeginwithreviewingtherecentchangesinAIandlearninghowartificialneuralnetworks(ANNs)haveenabledmoreintelligentAI.You'llexplorefeedforward,recurrent,convolutional,andgenerativeneuralnetworks(FFNNs,RNNs,CNNs,andGNNs),aswellasreinforcementlearningmethods.Intheconcludingchapters,you'lllearnhowtoimplementthesemethodsforavarietyoftasks,suchasgeneratingtextforchatbots,andplayingboardandvideogames.Bytheendofthisbook,youwillbeabletounderstandexactlywhatyouneedtoconsiderwhenoptimizingANNsandhowtodeployandmaintainAIapplications.

工廠數控仿真技術實例特訓（Vericut 7.3版）

Vericut軟件是美國CGTech公司出品的一款優秀的數控加工仿真軟件，能幫助用戶提前預判數控程序在機床上運行的正確性和可行性，避免發生錯誤，因而在數控加工行業得到了廣泛應用。本書以實用性和知識性為特色，結合工廠實際工作經驗和教學實踐，精選了大量的工廠實際加工案例為素材，對學員進行數控仿真的強化訓練，以幫助讀者盡快將Vericut軟件知識在工廠實踐中運用自如。本書適合具有數控編程基礎和3D繪圖基礎，以及希望進一步學習數控仿真技術和提高數控編程水平的讀者閱讀。本書既適合自學，也可以作為崗前職業培訓、職業院校、高等學校相關專業的參考教材。

Implementing Oracle API Platform Cloud Service

ThisbookisforallOracledeveloperswhoareworkingorplantoworkwiththeOracleAPIPlatformCloudService.

Design for the Future

本書將從Metro風格的歷史到Metro在軟件產品客戶端交互中的應用，來領略Metro風格的簡潔的設計思想；同時以WindowsPhone和Windows8應用為主，其他產品的Metro設計為輔，詳細介紹Metro風格應用的設計指導原則，使讀者掌握可實際操作的設計規范，設計和開發出符合微軟要求的Metro風格的WindowsPhone和Windows8應用；文中還展示了大量優秀的Metro風格設計示例，使讀者對Metro風格有一定的感性認識；最后還推演了Metro風格的未來演進思路。

Go Machine Learning Projects

Goistheperfectlanguageformachinelearning;ithelpstoclearlydescribecomplexalgorithms,andalsohelpsdeveloperstounderstandhowtorunefficientoptimizedcode.ThisbookwillteachyouhowtoimplementmachinelearninginGotomakeprogramsthatareeasytodeployandcodethatisnotonlyeasytounderstandanddebug,butalsotohaveitsperformancemeasured.ThebookbeginsbyguidingyouthroughsettingupyourmachinelearningenvironmentwithGolibrariesandcapabilities.Youwillthenplungeintoregressionanalysisofareal-lifehousepricingdatasetandbuildaclassificationmodelinGotoclassifyemailsasspamorham.UsingGonum,Gorgonia,andSTL,youwillexploretimeseriesanalysisalongwithdecompositionandcleanupyourpersonalTwittertimelinebyclusteringtweets.Inadditiontothis,youwilllearnhowtorecognizehandwritingusingneuralnetworksandconvolutionalneuralnetworks.Lastly,you'lllearnhowtochoosethemostappropriatemachinelearningalgorithmstouseforyourprojectswiththehelpofafacialdetectionproject.Bytheendofthisbook,youwillhavedevelopedasolidmachinelearningmindset,astrongholdonthepowerfulGotoolkit,andasoundunderstandingofthepracticalimplementationsofmachinelearningalgorithmsinreal-worldprojects.

機器人輔助C程序設計

本書以小型機器人的大腦組成和編程、伺服電機的控制編程、觸覺傳感器導航控制和紅外傳感器的導航控制、機器人循線控制等為核心內容，并結合機器人游中國和機器人智能搬運等中國教育機器人大賽競賽項目，將C語言的軟件設計思路和方法融入到這些核心的任務當中。通過實踐這些實踐項目，然后總結歸納，培養學生觀察、實踐、歸納、分析和推理的科學精神和實踐技能。

Python Machine Learning By Example

Thesurgeininterestinmachinelearning(ML)isduetothefactthatitrevolutionizesautomationbylearningpatternsindataandusingthemtomakepredictionsanddecisions.Ifyou’reinterestedinML,thisbookwillserveasyourentrypointtoML.PythonMachineLearningByExamplebeginswithanintroductiontoimportantMLconceptsandimplementationsusingPythonlibraries.Eachchapterofthebookwalksyouthroughanindustryadoptedapplication.You’llimplementMLtechniquesinareassuchasexploratorydataanalysis,featureengineering,andnaturallanguageprocessing(NLP)inaclearandeasy-to-followway.Withthehelpofthisextendedandupdatededition,you’llunderstandhowtotackledata-drivenproblemsandimplementyoursolutionswiththepowerfulyetsimplePythonlanguageandpopularPythonpackagesandtoolssuchasTensorFlow,scikit-learn,gensim,andKeras.ToaidyourunderstandingofpopularMLalgorithms,thebookcoversinterestingandeasy-to-followexamplessuchasnewstopicmodelingandclassification,spamemaildetection,stockpriceforecasting,andmore.Bytheendofthebook,you’llhaveputtogetherabroadpictureoftheMLecosystemandwillbewell-versedwiththebestpracticesofapplyingMLtechniquestomakethemostoutofnewopportunities.

操作系統與網絡服務器使用與管理（Windows Server 2003）

本書是教育部職業教育與成人教育司推薦教材《操作系統與網絡服務器使用與管理》的升級版本。將網絡操作系統由Windowsserver2000升級到了Windowsserver2003。本書以Windowsserver2003網絡操作系統為例介紹了網絡操作系統的安裝、配置、管理與維護，以及操作系統的安全性管理。同時以WindowsXPprofessional桌面操作系統為例，講解了如何在客戶端使其登錄到域。

Hands-On Linux for Architects

Itisveryimportanttounderstandtheflexibilityofaninfrastructurewhendesigninganefficientenvironment.Inthisbook,youwillcovereverythingfromLinuxcomponentsandfunctionalitiesthroughtohardwareandsoftwaresupport,whichwillhelpyoutoimplementandtuneeffectiveLinux-basedsolutions.ThisbookgetsstartedwithanoverviewofLinuxdesignmethodology.Next,youwillfocusonthecoreconceptsofdesigningasolution.Asyouprogress,youwillgaininsightsintothekindsofdecisionsyouneedtomakewhendeployingahigh-performancesolutionusingGlusterFileSystem(GlusterFS).Inthenextsetofchapters,thebookwillguideyouthroughthetechniqueofusingKubernetesasanorchestratorfordeployingandmanagingcontainerizedapplications.Inadditiontothis,youwilllearnhowtoapplyandconfigureKubernetesforyourNGINXapplication.You’llthenlearnhowtoimplementanELKstack,whichiscomposedofElasticsearch,Logstash,andKibana.Intheconcludingchapters,youwillfocusoninstallingandconfiguringaSaltstacksolutiontomanagedifferentLinuxdistributions,andexploreavarietyofdesignbestpractices.Bytheendofthisbook,youwillbewell-versedwithdesigningahigh-performingcomputingenvironmentforcomplexapplicationstorunon.Bytheendofthebook,youwillhavedelvedinsidethemostdetailedtechnicalconditionsofdesigningasolution,andyouwillhavealsodissectedeveryaspectindetailinordertoimplementandtuneopensourceLinux-basedsolutions.

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.