二手车床价格是多少钱一台

C++isageneral-purposeprogramminglanguagewithabiastowardsystemprogrammingasitprovidesreadyaccesstohardware-levelresources,efficientcompilation,andaversatileapproachtohigher-levelabstractions.ThisbookwillhelpyouunderstandthebenefitsofsystemprogrammingwithC++17.YouwillgainafirmunderstandingofvariousC,C++,andPOSIXstandards,aswellastheirrespectivesystemtypesforbothC++andPOSIX.AfterabriefrefresheronC++,ResourceAcquisitionIsInitialization(RAII),andthenewC++GuidelineSupportLibrary(GSL),youwilllearntoprogramLinuxandUnixsystemsalongwithprocessmanagement.Asyouprogressthroughthechapters,youwillbecomeacquaintedwithC++'ssupportforIO.Youwillthenstudyvariousmemorymanagementmethods,includingachapteronallocatorsandhowtheybenefitsystemprogramming.YouwillalsoexplorehowtoprogramfileinputandoutputandlearnaboutPOSIXsockets.ThisbookwillhelpyougettogripswithsafelysettingupaUDPandTCPserver/client.Finally,youwillbeguidedthroughUnixtimeinterfaces,multithreading,anderrorhandlingwithC++exceptions.Bytheendofthisbook,youwillbecomfortablewithusingC++toprogramhigh-qualitysystems.

·10.4萬字

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Feature Engineering Made Easy

Ifyouareadatascienceprofessionaloramachinelearningengineerlookingtostrengthenyourpredictiveanalyticsmodel,thenthisbookisaperfectguideforyou.SomebasicunderstandingofthemachinelearningconceptsandPythonscriptingwouldbeenoughtogetstartedwiththisbook.

·6.4萬字

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基于OPAC日志的高校圖書館用戶信息需求與檢索行為研究

本書以大學圖書館的OPAC日志數據為例，主要借助日志分析和內容分析方法，對日志記錄進行了梳理、編碼，并從信息需求的特點、用戶的檢索策略（提問調整方式與模式）、用戶遭遇檢索失敗的原因、應對及應對效果等角度進行了分析和討論；在研究發現的基礎上，從OPAC系統的完善、圖書館資源的建設、圖書館用戶信息素養的提升等方面提出了建議和對策，改善高校圖書館的館藏資源可獲得性，改進高校圖書館系統的服務效能，提高用戶的信息滿意度。

·13.3萬字

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GitHub Essentials

ThisbookisforexperiencedornovicedeveloperswithabasicknowledgeofGit.IfyoueverwantedtolearnhowbigprojectssuchasTwitter,Google,orevenGitHubcollaborateoncode,thenthisbookisforyou.

·2.5萬字

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Remote Usability Testing

UsabilitytestingisasubdisciplineofUserExperience.Itsgoalistoensurethatagivenproductiseasytouseandtheuser'sexperiencewiththeproductisintuitiveandsatisfying.Usabilitystudiesareconductedwithstudyparticipantswhoarerepresentativeofthetargetuserstogatherfeedbackonauserinterface.Thefeedbackisthenusedtorefineandimprovetheuserinterface.Remotestudiesinvolvefewerlogistics,allowparticipationregardlessoflocationandarequickerandcheapertoexecutecomparedtoinpersonstudies,whiledeliveringvaluableinsights.Theusersarenotinhibitedbybeinginanewenvironmentunderobservation;theycanactnaturallyintheirfamiliarenvironment.Remoteunmoderatedstudiesadditionallyhavetheadvantageofbeingindependentoftimezones.Thisbookwillteachyouhowtoconductqualitativeremoteusabilitystudies,inparticularremotemoderatedandunmoderatedstudies.Eachchapterprovidesactionabletipsonhowtouseeachmethodologyandhowtocompensateforthespecificnatureofeachmethodology.Thebookalsoprovidesmaterialtohelpwithplanningandexecutingeachstudytype.

·5萬字

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AI Crash Course

UnlockthepowerofartificialintelligencewithtopUdemyAIinstructorHadelindePonteves.KeyFeatures*RollupyoursleevesandstartprogrammingAImodels*Nomath,datascience,ormachinelearningbackgroundrequired*Packedwithhands-onexamples,illustrations,andclearstep-by-stepinstructions*5hands-onworkingprojectsputideasintoactionandshowstep-by-stephowtobuildintelligentsoftwareBookDescriptionAIischangingtheworld–andwiththisbook,anyonecanstartbuildingintelligentsoftware!Throughhisbest-sellingvideocourses,HadelindePonteveshastaughthundredsofthousandsofpeopletowriteAIsoftware.Now,forthefirsttime,hishands-on,energeticapproachisavailableasabook.Takingagraduatedapproachthatstartswiththebasicsbeforeeasingreadersintomorecomplicatedformulasandnotation,HadelinhelpsyouunderstandwhatyoureallyneedtobuildAIsystemswithreinforcementlearninganddeeplearning.Fivefullworkingprojectsputtheideasintoaction,showingstep-by-stephowtobuildintelligentsoftwareusingthebestandeasiesttoolsforAIprogramming:*GoogleColab*Python*TensorFlow*Keras*PyTorchAICrashCourseteacheseveryonetobuildanAItoworkintheirapplications.Onceyou’vereadthisbook,you’reonlylimitedbyyourimagination.Whatyouwilllearn*Masterthekeyskillsofdeeplearning,reinforcementlearning,anddeepreinforcementlearning*UnderstandQ-learninganddeepQ-learning*Learnfromfriendly,plainEnglishexplanationsandpracticalactivities*Buildfunprojects,includingavirtual-self-drivingcar*UseAItosolvereal-worldbusinessproblemsandwinclassicvideogames*Buildanintelligent,virtualrobotwarehouseworkerWhothisbookisforIfyouwanttoaddAItoyourskillset,thisbookisforyou.Itdoesn’trequiredatascienceormachinelearningknowledge.Justmathsbasics(highschoollevel).

·7.7萬字

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大學計算機基礎習題與實驗指導（第2版）

本書是武漢工程大學王海暉、劉寶忠主編的《大學計算機基礎》配套的實驗指導教材。本書主要包括兩個部分，第一部分為實驗，內容包含6個實驗，主要包括：計算機基本操作實驗、Windows7操作系統實驗、Office2010辦公軟件實驗、網絡基礎實驗、Photoshop圖像處理實驗、視頻制作和處理實驗；第二部分則包含了與主教材各章內容對應的全部習題。

·13萬字

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Learning Functional Programming in Go

ThisbookisforGolangdeveloperscomfortablewithOOPandinterestedinlearninghowtoapplythefunctionalparadigmtocreaterobustandtestableapps.PriorprogrammingexperiencewithGowouldbehelpful,butnotmandatory.

·11.1萬字

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數據挖掘算法實踐與案例詳解

數據挖掘算法為大數據與人工智能的核心，掌握數據挖掘各算法的編程實現，有助于提升大數據的實踐運用能力。本書詳細闡述了數據挖掘常用算法與編程實現，同時，本書以多個經典的數據挖掘賽題為案例，詳細論述了數據預處理、特征選擇、可視化、算法選擇等全流程數據挖掘過程的編程實現，有助于提升讀者面對實際數據問題時靈活運用各類算法能力。

·4.7萬字

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敏捷數據分析工具箱：深入解析ADW+OAC

本書從數據倉庫的方法論入手，為讀者系統而又全面地介紹敏捷數據分析的相關工具：ADW、OAC，內容涵蓋OracleADW的技術特征、數據加載及應用開發等部分；在OAC方面，深入地介紹了OAC的技術與強大的功能，同時也加入了諸多的高級主題。另外，本書的第4部分介紹了其他相關知識。本書內容在保證深度的基礎上兼顧了技術的廣度，并結合了大量實戰性操作和案例，使讀者可以在較短的時間內全面了解敏捷數據分析的相關知識。希望本書可以拋磚引玉，讓更多的人關注ADW和增強分析技術。

·8.2萬字

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Unreal Engine Virtual Reality Quick Start Guide

Withtheabilitytoputplayersdirectlyinthegame,virtualrealitygivesusersthechancetoexperiencedigitalworldsdirectly.Nevertheless,manydesignersareunsurewheretostartwhenworkingwiththisamazingtechnology.Withthisbook,youwilllearnuserexperiencedesignprocessesandcreateimmersivegameplayexperiencesdesignedforentertainmentandplayercomfort.UsingthepowerofUnrealEngine4’sBlueprintvisualscriptinglanguage,youwillbuildplayerinteractionandlocomotionsystemsfromscratchandusetheseflexiblesystemstocreateasamplegame,aswellasdevelopfunctional2Dand3Duserinterfacesforplayerstointeractwith.Andalsolearnthebestpracticesforcreatinggameartforvirtualreality.Finally,youwilllearnhowtotestyourapplicationwithyourtargetaudienceandfinalizeyourgamefordistribution.Bytheendofthisbook,youwillhavetheknowledgetobeabletomaketheleapfromtraditionalgamedevelopmenttocreatingimmersivevirtualrealityexperiencesusingUnrealEngine4.

·4.5萬字

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R Machine Learning Essentials

IfyouwanttolearnhowtodevelopeffectivemachinelearningsolutionstoyourbusinessproblemsinR,thisbookisforyou.Itwouldbehelpfultohaveabitoffamiliaritywithbasicobject-orientedprogrammingconcepts,butnopriorexperienceisrequired.

·4.3萬字

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Computer Vision Projects with OpenCV and Python 3

Pythonistheidealprogramminglanguageforrapidlyprototypinganddevelopingproduction-gradecodesforimageprocessingandComputerVisionwithitsrobustsyntaxandwealthofpowerfullibraries.Thisbookwillhelpyoudesignanddevelopproduction-gradeComputerVisionprojectstacklingreal-worldproblems.Withthehelpofthisbook,youwilllearnhowtosetupAnacondaandPythonforthemajorOSeswithcutting-edgethird-partylibrariesforComputerVision.You'lllearnstate-of-the-arttechniquesforclassifyingimages,findingandidentifyinghumanpostures,anddetectingfaceswithinvideos.YouwillusepowerfulmachinelearningtoolssuchasOpenCV,Dlib,andTensorFlowtobuildexcitingprojectssuchasclassifyinghandwrittendigits,detectingfacialfeatures,andmuchmore.Thebookalsocoverssomeadvancedprojects,suchasreadingtextfromlicenseplatesfromreal-worldimagesusingGoogle’sTesseractsoftware,andtrackinghumanbodyposesusingDeeperCutwithinTensorFlow.Bytheendofthisbook,youwillhavetheexpertiserequiredtobuildyourownComputerVisionprojectsusingPythonanditsassociatedlibraries.

·3.2萬字

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Access 2010數據庫程序設計實踐教程

本書是主教材《Access2010數據庫程序設計》（邵敏敏、董保蓮、張楠主編，中國鐵道出版社出版）的配套實驗教材。本書內容包含課程實驗指導與全國計算機等級考試指導兩部分。課程實驗指導主要內容是與主教材同步的實驗以及全國計算機等級考試真題練習與解析，全國計算機等級考試指導主要包括全國計算機等級二級（Access數據庫程序設計）考試介紹以及模擬試題與解析。本書內容豐富，覆蓋面廣，有利于學生鞏固所學的知識，提高學生的操作能力與綜合應用能力。本書適合作為高等學校非計算機專業“數據庫技術及應用”課程的實驗教材，也可作為全國計算機等級考試二級（Access數據庫程序設計）的培訓教材，對從事數據庫應用系統開發的初學者也具有參考價值。

·8.4萬字

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Hands-On Deep Learning for Games

Thenumberofapplicationsofdeeplearningandneuralnetworkshasmultipliedinthelastcoupleofyears.Neuralnetshasenabledsignificantbreakthroughsineverythingfromcomputervision,voicegeneration,voicerecognitionandself-drivingcars.Gamedevelopmentisalsoakeyareawherethesetechniquesarebeingapplied.Thisbookwillgiveanindepthviewofthepotentialofdeeplearningandneuralnetworksingamedevelopment.Wewilltakealookatthefoundationsofmulti-layerperceptron’stousingconvolutionalandrecurrentnetworks.InapplicationsfromGANsthatcreatemusicortexturestoself-drivingcarsandchatbots.Thenweintroducedeepreinforcementlearningthroughthemulti-armedbanditproblemandotherOpenAIGymenvironments.AsweprogressthroughthebookwewillgaininsightsaboutDRLtechniquessuchasMotivatedReinforcementLearningwithCuriosityandCurriculumLearning.WealsotakeacloserlookatdeepreinforcementlearningandinparticulartheUnityML-Agentstoolkit.Bytheendofthebook,wewilllookathowtoapplyDRLandtheML-Agentstoolkittoenhance,testandautomateyourgamesorsimulations.Finally,wewillcoveryourpossiblenextstepsandpossibleareasforfuturelearning.

·8.2萬字

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大數據導論

本書圍繞新工科背景下大數據人才培養需求編寫，既涵蓋了大數據的基礎知識，又介紹了大數據分析的相關工具與案例。全書共9章，介紹了大數據采集與預處理、大數據存儲與管理、大數據處理與分析、大數據可視化處理流程；重點分析了科大訊飛大數據平臺在政務、交通、金融和用戶畫像等實際場景中的應用，還介紹了大數據實驗環境的詳細搭建步驟，方便讀者快速理解和體驗大數據應用技術；最后介紹了大數據治理中法律政策、行業標準建設的最新進展，分析了大數據可能帶來的倫理風險和應對策略。

·14.5萬字

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云計算服務保障體系

云計算是一種商業計算模型，它將計算任務分布在大量計算機構成的資源池上，使用戶能夠按需獲取計算能力、存儲空間和信息服務。與以往的計算模式不同，云計算環境下，信息安全和服務保障問題更嚴重、更突出。本書從云計算的安全技術和服務質量評價兩個方面論述云計算服務保障的體系架構，安全技術方面主要闡述了基于可信計算的實時度量、基于角色的數據隔離訪問、云節點信任鏈的動態維護模型與驗證機制和多級安全訪問控制模型；服務質量評價方面提出基于動態篩選評價指標的云服務QoS模型（CSERVQUAL）和改進TOPSIS的云服務QoS評價方法（IEC-TOPSIS）。本書適合開發、維護和使用云計算服務的人員閱讀，可以作為云計算研究人員的參考書，也可以作為計算機與信息安全相關專業高年級本科和研究生階段教材。

·9.5萬字

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Neural Network Programming with TensorFlow

Thisbookismeantfordeveloperswithastatisticalbackgroundwhowanttoworkwithneuralnetworks.ThoughwewillbeusingTensorFlowastheunderlyinglibraryforneuralnetworks,bookcanbeusedasagenericresourcetobridgethegapbetweenthemathandtheimplementationofdeeplearning.IfyouhavesomeunderstandingofTensorflowandPythonandwanttolearnwhathappensatalevellowerthantheplainAPIsyntax,thisbookisforyou.

·3.7萬字

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Architects of Intelligence

FinancialTimesBestBooksoftheYear2018TechRepublicTopBooksEveryTechieShouldReadBookDescriptionHowwillAIevolveandwhatmajorinnovationsareonthehorizon?Whatwillitsimpactbeonthejobmarket,economy,andsociety?Whatisthepathtowardhuman-levelmachineintelligence?Whatshouldwebeconcernedaboutasartificialintelligenceadvances?ArchitectsofIntelligencecontainsaseriesofin-depth,one-to-oneinterviewswhereNewYorkTimesbestsellingauthor,MartinFord,uncoversthetruthbehindthesequestionsfromsomeofthebrightestmindsintheArtificialIntelligencecommunity.Martinhaswide-rangingconversationswithtwenty-threeoftheworld'sforemostresearchersandentrepreneursworkinginAIandrobotics:DemisHassabis(DeepMind),RayKurzweil(Google),GeoffreyHinton(Univ.ofTorontoandGoogle),RodneyBrooks(RethinkRobotics),YannLeCun(Facebook),Fei-FeiLi(StanfordandGoogle),YoshuaBengio(Univ.ofMontreal),AndrewNg(AIFund),DaphneKoller(Stanford),StuartRussell(UCBerkeley),NickBostrom(Univ.ofOxford),BarbaraGrosz(Harvard),DavidFerrucci(ElementalCognition),JamesManyika(McKinsey),JudeaPearl(UCLA),JoshTenenbaum(MIT),RanaelKaliouby(Affectiva),DanielaRus(MIT),JeffDean(Google),CynthiaBreazeal(MIT),OrenEtzioni(AllenInstituteforAI),GaryMarcus(NYU),andBryanJohnson(Kernel).MartinFordisaprominentfuturist,andauthorofFinancialTimesBusinessBookoftheYear,RiseoftheRobots.HespeaksatconferencesandcompaniesaroundtheworldonwhatAIandautomationmightmeanforthefuture.MeetthemindsbehindtheAIsuperpowersastheydiscussthescience,businessandethicsofmodernartificialintelligence.ReadJamesManyika’sthoughtsonAIanalytics,GeoffreyHinton’sbreakthroughsinAIprogramminganddevelopment,andRanaelKaliouby’sinsightsintoAImarketing.ThisAIbookcollectstheopinionsoftheluminariesoftheAIbusiness,suchasStuartRussell(coauthoroftheleadingAItextbook),RodneyBrooks(aleaderinAIrobotics),DemisHassabis(chessprodigyandmindbehindAlphaGo),andYoshuaBengio(leaderindeeplearning)tocompleteyourAIeducationandgiveyouanAIadvantagein2019andthefuture.

·19.7萬字

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Data Science Projects with Python

DataScienceProjectswithPythonisdesignedtogiveyoupracticalguidanceonindustry-standarddataanalysisandmachinelearningtoolsinPython,withthehelpofrealisticdata.ThebookwillhelpyouunderstandhowyoucanusepandasandMatplotlibtocriticallyexamineadatasetwithsummarystatisticsandgraphs,andextracttheinsightsyouseektoderive.Youwillcontinuetobuildonyourknowledgeasyoulearnhowtopreparedataandfeedittomachinelearningalgorithms,suchasregularizedlogisticregressionandrandomforest,usingthescikit-learnpackage.You’lldiscoverhowtotunethealgorithmstoprovidethebestpredictionsonnewand,unseendata.Asyoudelveintolaterchapters,you’llbeabletounderstandtheworkingandoutputofthesealgorithmsandgaininsightintonotonlythepredictivecapabilitiesofthemodelsbutalsotheirreasonsformakingthesepredictions.Bytheendofthisbook,youwillhavetheskillsyouneedtoconfidentlyusevariousmachinelearningalgorithmstoperformdetaileddataanalysisandextractmeaningfulinsightsfromunstructureddata.

·8.5萬字

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Hands-On System Programming with C++