pg电子游戏做

ThisbookisintendedfordeveloperswithaninterestinusingMachinelearningalgorithmstodevelopbettergamesandsimulationswithUnity.ThereaderwillberequiredtohaveaworkingknowledgeofC#andabasicunderstandingofPython.

·4萬字

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GitHub Essentials

ThisbookisforexperiencedornovicedeveloperswithabasicknowledgeofGit.IfyoueverwantedtolearnhowbigprojectssuchasTwitter,Google,orevenGitHubcollaborateoncode,thenthisbookisforyou.

·2.5萬字

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Continuous Delivery and DevOps：A Quickstart Guide

Overthepastfewyears,ContinuousDelivery(CD)andDevOpshavebeeninthespotlightintechmedia,atconferences,andinboardroomsalike.ManyarticlesandbookshavebeenwrittencoveringthetechnicalaspectsofCDandDevOps,yetthevastmajorityoftheindustrydoesn’tfullyunderstandwhattheyactuallyareandhow,ifadoptedcorrectlytheycanhelporganizationsdrasticallychangethewaytheydelivervalue.ThisbookwillhelpyoufigureouthowCDandDevOpscanhelpyoutooptimize,streamline,andimprovethewayyouworktoconsistentlydeliverqualitysoftware.Inthisedition,you’llbeintroducedtomoderntools,techniques,andexamplestohelpyouunderstandwhattheadoptionofCDandDevOpsentails.ItprovidesclearandconciseinsightsintowhatCDandDevOpsareallabout,howtogoaboutbothpreparingforandadoptingthem,andwhatquantifiablevaluetheybring.Youwillbeguidedthroughthevariousstagesofadoption,theimpacttheywillhaveonyourbusinessandthoseworkingwithinit,howtoovercomecommonproblems,andwhattodoonceCDandDevOpshavebecometrulyembedded.Includedwithinthisbookaresomereal-worldexamples,tricks,andtipsthatwillhelpeasetheadoptionprocessandallowyoutofullyutilizethepowerofCDandDevOps

·7.7萬字

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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.

·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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Hands-On Design Patterns with Java

Javadesignpatternsarereusableandprovensolutionstosoftwaredesignproblems.Thisbookcoversover60battle-testeddesignpatternsusedbydeveloperstocreatefunctional,reusable,andflexiblesoftware.Hands-OnDesignPatternswithJavastartswithanintroductiontotheUnifiedModelingLanguage(UML),anddelvesintoclassandobjectdiagramswiththehelpofdetailedexamples.You'llstudyconceptsandapproachestoobject-orientedprogramming(OOP)andOOPdesignpatternstobuildrobustapplications.Asyouadvance,you'llexplorethecategoriesofGOFdesignpatterns,suchasbehavioral,creational,andstructural,thathelpyouimprovecodereadabilityandenablelarge-scalereuseofsoftware.You’llalsodiscoverhowtoworkeffectivelywithmicroservicesandserverlessarchitecturesbyusingclouddesignpatterns,eachofwhichisthoroughlyexplainedandaccompaniedbyreal-worldprogrammingsolutions.Bytheendofthebook,you’llbeabletospeedupyoursoftwaredevelopmentprocessusingtherightdesignpatterns,andyou’llbecomfortableworkingonscalableandmaintainableprojectsofanysize.

·5.2萬字

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Cognitive Computing with IBM Watson

Cognitivecomputingisrapidlyinfusingeveryaspectofourlivesridingonthreeimportantfields:datascience,machinelearning(ML),andartificialintelligence(AI).Itallowscomputingsystemstolearnandkeeponimprovingastheamountofdatainthesystemgrows.Thisbookintroducesreaderstoawholenewparadigmofcomputing–aparadigmthatistotallydifferentfromtheconventionalcomputingoftheInformationAge.YouwilllearntheconceptsofML,deeplearning(DL),neuralnetworks,andAIthroughthesetofAPIsprovidedbyIBMWatson.Thisbookwillhelpyoubuildyourownapplicationstounderstand,plan,andsolveproblems,andanalyzethemasperyourneeds.Youwilllearnaboutvariousdomainsofcognitivecomputing,suchasNLP,voiceprocessing,computervision,emotionanalytics,andconversationalsystems,usingdifferentIBMWatsonAPIs.Fromthis,thereaderwilllearnwhatMLis,andwhatgoesoninthebackgroundtomakecomputers"dotheirmagic,"aswellaswheretheseconceptshavebeenapplied.Havingachievedthis,thereaderswillthenbeabletoembarkontheirjourneyoflearning,researching,andapplyingtheconceptintheirrespectivefields.

·4.8萬字

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Deep Learning with R for Beginners

Deeplearningfindspracticalapplicationsinseveraldomains,whileRisthepreferredlanguagefordesigninganddeployingdeeplearningmodels.ThisLearningPathintroducesyoutothebasicsofdeeplearningandeventeachesyoutobuildaneuralnetworkmodelfromscratch.Asyoumakeyourwaythroughthechapters,you’llexploredeeplearninglibrariesandunderstandhowtocreatedeeplearningmodelsforavarietyofchallenges,rightfromanomalydetectiontorecommendationsystems.Thebookwillthenhelpyoucoveradvancedtopics,suchasgenerativeadversarialnetworks(GANs),transferlearning,andlarge-scaledeeplearninginthecloud,inadditiontomodeloptimization,overfitting,anddataaugmentation.Throughreal-worldprojects,you’llalsogetuptospeedwithtrainingconvolutionalneuralnetworks(CNNs),recurrentneuralnetworks(RNNs),andlongshort-termmemorynetworks(LSTMs)inR.BytheendofthisLearningPath,you’llbewellversedwithdeeplearningandhavetheskillsyouneedtoimplementanumberofdeeplearningconceptsinyourresearchworkorprojects.ThisLearningPathincludescontentfromthefollowingPacktproducts:RDeepLearningEssentials-SecondEditionbyJoshuaF.WileyandMarkHodnett.RDeepLearningProjectsbyYuxi(Hayden)LiuandPabloMaldonado.

·11.5萬字

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Learn Selenium

SeleniumWebDriver3.xisanopensourceAPIfortestingbothbrowserandmobileapplications.Withthehelpofthisbook,youcanbuildasolidfoundationandcaneasilyperformend-to-endtestingonwebandmobilebrowsers.You'llbeginbybeingintroducedtotheSeleniumPageObjectModelforsoftwaredevelopment.You'llarchitectyourownframeworkwithascalabledriverclass,Javautilityclasses,andsupportforthird-partytoolsandplugins.You'lldesignandbuildaSeleniumgridfromscratchtoenabletheframeworktoscaleandsupportdifferentbrowsers,mobiledevices,andplatforms.You'llstrategizeandhandlearichwebUIusingtheadvancedWebDriverAPIandlearntechniquestohandlereal-timechallengesinWebDriver.You'llperformdifferenttypesoftesting,suchascross-browsertesting,loadtesting,andmobiletesting.Finally,youwillalsobeintroducedtodata-driventesting,usingTestNGtocreateyourownautomationframework.BytheendofthisLearningPath,you'llbeabletodesignyourownautomationtestingframeworkandperformdata-driventestingwithSeleniumWebDriver.ThisLearningPathincludescontentfromthefollowingPacktproducts:SeleniumWebDriver3PracticalGuide-SecondEditionbyUnmeshGundecha.SeleniumFrameworkDesigninData-DrivenTestingbyCarlCocchiaro.

·8.8萬字

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Applying Math with Python

Python,oneoftheworld'smostpopularprogramminglanguages,hasanumberofpowerfulpackagestohelpyoutacklecomplexmathematicalproblemsinasimpleandefficientway.Thesecorecapabilitieshelpprogrammerspavethewayforbuildingexcitingapplicationsinvariousdomains,suchasmachinelearninganddatascience,usingknowledgeinthecomputationalmathematicsdomain.Thebookteachesyouhowtosolveproblemsfacedinawidevarietyofmathematicalfields,includingcalculus,probability,statisticsanddatascience,graphtheory,optimization,andgeometry.You'llstartbydevelopingcoreskillsandlearningaboutpackagescoveredinPython’sscientificstack,includingNumPy,SciPy,andMatplotlib.Asyouadvance,you'llgettogripswithmoreadvancedtopicsofcalculus,probability,andnetworks(graphtheory).Afteryougainasolidunderstandingofthesetopics,you'lldiscoverPython'sapplicationsindatascienceandstatistics,forecasting,geometry,andoptimization.Thefinalchapterswilltakeyouthroughacollectionofmiscellaneousproblems,includingworkingwithspecificdataformatsandacceleratingcode.Bytheendofthisbook,you'llhaveanarsenalofpracticalcodingsolutionsthatcanbeusedandmodifiedtosolveawiderangeofpracticalproblemsincomputationalmathematicsanddatascience.

·8.1萬字

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大數(shù)據(jù)技術(shù)體系詳解：原理、架構(gòu)與實踐

隨著大數(shù)據(jù)技術(shù)的普及，它已經(jīng)被廣泛應(yīng)用于互聯(lián)網(wǎng)、電信、金融、工業(yè)制造等諸多行業(yè)。據(jù)相關(guān)報告統(tǒng)計，大數(shù)據(jù)人才需求呈井噴態(tài)勢，越來越多的程序員開始學(xué)習(xí)大數(shù)據(jù)技術(shù)，這使得它已經(jīng)成為程序員所需的基本技能。為了滿足大數(shù)據(jù)人才市場需求，越來越多的大數(shù)據(jù)技術(shù)書籍不斷面世，包括《Hadoop權(quán)威指南》《Hadoop實戰(zhàn)》等。盡管如此，面向初、中級學(xué)者，能夠系統(tǒng)化、體系化介紹大數(shù)據(jù)技術(shù)的基礎(chǔ)書籍并不多見。筆者曾接觸過大量大數(shù)據(jù)初學(xué)者，他們一直渴望能有一本簡單且易于理解的教科書式的大數(shù)據(jù)書籍出現(xiàn)。為了滿足這些讀者的需求，筆者根據(jù)自己多年的數(shù)據(jù)項目和培訓(xùn)經(jīng)驗，繼《Hadoop技術(shù)內(nèi)幕》書籍之后，于兩年前開始嘗試編寫一本淺顯易讀的大數(shù)據(jù)基礎(chǔ)書籍。

·17.2萬字

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云計算服務(wù)保障體系

云計算是一種商業(yè)計算模型，它將計算任務(wù)分布在大量計算機構(gòu)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(wù)。與以往的計算模式不同，云計算環(huán)境下，信息安全和服務(wù)保障問題更嚴(yán)重、更突出。本書從云計算的安全技術(shù)和服務(wù)質(zhì)量評價兩個方面論述云計算服務(wù)保障的體系架構(gòu)，安全技術(shù)方面主要闡述了基于可信計算的實時度量、基于角色的數(shù)據(jù)隔離訪問、云節(jié)點信任鏈的動態(tài)維護模型與驗證機制和多級安全訪問控制模型；服務(wù)質(zhì)量評價方面提出基于動態(tài)篩選評價指標(biāo)的云服務(wù)QoS模型（CSERVQUAL）和改進TOPSIS的云服務(wù)QoS評價方法（IEC-TOPSIS）。本書適合開發(fā)、維護和使用云計算服務(wù)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(guān)專業(yè)高年級本科和研究生階段教材。

·9.5萬字

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算法設(shè)計與分析

為了便于讀者進行系統(tǒng)學(xué)習(xí)、分類整理知識點及遇到問題時能夠快速找到求解的方法，本書按照算法策略進行劃分，每一章都引入了若干個經(jīng)典問題。通過問題的分析、計算模型的建立、算法的設(shè)計與描述、算法的分析來深入解讀每一種算法策略所能解決的問題范疇及方法。全書共分9章，內(nèi)容包括：算法設(shè)計基礎(chǔ)、算法效率分析基礎(chǔ)、迭代法、蠻力法、分治策略、回溯與分支界限、貪心算法、動態(tài)規(guī)劃、隨機算法。本書非常注重教材的可讀性和實用性，以問題分析→模型設(shè)計→算法設(shè)計描述→算法分析為技術(shù)線路，幫助讀者迅速掌握算法設(shè)計要點，規(guī)范算法設(shè)計、分析及實現(xiàn)的方法。書中例題的問題分析和模型設(shè)計模塊用于培養(yǎng)讀者的抽象設(shè)計能力，算法設(shè)計模塊用于提高讀者運用計算機求解問題的能力，算法分析模塊用于幫助讀者運行用數(shù)學(xué)工具對算法進行客觀分析。同時，本書編寫時也考慮到初學(xué)者所面臨的困難，在算法設(shè)計與描述中，刻意增加了基于源代碼的程序設(shè)計與實現(xiàn)環(huán)節(jié)，從而全方位地幫助讀者提高算法設(shè)計與分析實踐能力和理論水平。

·9.4萬字

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云數(shù)據(jù)中心基礎(chǔ)

本教材共介紹7個項目，項目1為云數(shù)據(jù)中心認知，主要介紹了什么是數(shù)據(jù)中心、云數(shù)據(jù)中心的特點、體系結(jié)構(gòu)、云數(shù)據(jù)中心和傳統(tǒng)數(shù)據(jù)中心的區(qū)別、綠色數(shù)據(jù)的概念以及發(fā)展趨勢。項目2介紹了云數(shù)據(jù)中心的規(guī)劃與設(shè)計，主要包括云數(shù)據(jù)中心的設(shè)計建設(shè)的指標(biāo)、基礎(chǔ)設(shè)施的規(guī)劃以及云數(shù)據(jù)中心的優(yōu)化策略。項目3介紹了云數(shù)據(jù)中心的硬件選型，主要包括服務(wù)器設(shè)備、網(wǎng)絡(luò)設(shè)備以及存儲設(shè)備的介紹和選型。項目4到項目6則重點介紹了虛擬化技術(shù)、云計算技術(shù)和運維技術(shù)，以及KVM虛擬化的搭建OpenStack的搭建，Zabbix、Puppet、KickStart搭建，項目7則介紹了Docker與Kubernetes容器技術(shù)，其中詳細介紹了Docker與Kubernetes的搭建和實現(xiàn)。

·12.1萬字

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MySQL數(shù)據(jù)庫基礎(chǔ)實例教程

本書較全面地介紹了MySQL數(shù)據(jù)庫的基礎(chǔ)知識及其應(yīng)用。本書共11章，包括數(shù)據(jù)庫基礎(chǔ)，MySQL的安裝與配置，數(shù)據(jù)庫的基本操作，數(shù)據(jù)表的基本操作，表數(shù)據(jù)的增、改、刪操作，數(shù)據(jù)查詢，視圖，索引，存儲過程與觸發(fā)器，事務(wù)，數(shù)據(jù)安全等內(nèi)容。本書采用案例教學(xué)方式，每章以應(yīng)用實例的方式闡述知識要點，再通過實訓(xùn)項目分析綜合應(yīng)用，最后輔以思考與練習(xí)鞏固所學(xué)知識。應(yīng)用實例、實訓(xùn)項目、思考與練習(xí)這3個部分分別采用3個不同的數(shù)據(jù)庫項目貫穿始末。本書既可作為計算機相關(guān)專業(yè)和非計算機專業(yè)數(shù)據(jù)庫基礎(chǔ)或數(shù)據(jù)庫開發(fā)課程的教材，也可作為計算機軟件開發(fā)人員、從事數(shù)據(jù)庫管理與維護工作的專業(yè)人員、廣大計算機愛好者的自學(xué)用書。

·7.8萬字

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精益數(shù)據(jù)分析

本書圍繞精益創(chuàng)業(yè)展開討論，融合了精益創(chuàng)業(yè)法、客戶開發(fā)、商業(yè)模式畫布和敏捷持續(xù)集成的精華。本書匯聚了100多位創(chuàng)始人、投資人、內(nèi)部創(chuàng)業(yè)者和創(chuàng)新者的成功創(chuàng)業(yè)經(jīng)驗，呈現(xiàn)了30多個極具價值的案例分析，可以為各階段的創(chuàng)業(yè)者提供行為準(zhǔn)則。

·21.6萬字

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大數(shù)據(jù)技術(shù)體系與開源生態(tài)

本書從大數(shù)據(jù)生命周期的角度闡述大數(shù)據(jù)技術(shù)體系與開源生態(tài)的發(fā)展。全書分為7篇，包括大數(shù)據(jù)技術(shù)體系與開源生態(tài)概述、大數(shù)據(jù)獲取技術(shù)、大數(shù)據(jù)管理技術(shù)、大數(shù)據(jù)處理技術(shù)、大數(shù)據(jù)分析與挖掘技術(shù)、大數(shù)據(jù)可視化與交互技術(shù)、大數(shù)據(jù)安全與治理技術(shù)。又分為15章，詳細介紹大數(shù)據(jù)的技術(shù)概況、發(fā)展近況和技術(shù)優(yōu)勢、軟件架構(gòu)、和應(yīng)用場景等內(nèi)容。本書適合大數(shù)據(jù)和人工智能業(yè)內(nèi)人員、各大高校相關(guān)專業(yè)的高年級本科生和研究生、以及對大數(shù)據(jù)應(yīng)用中各類框架組件的愛好者閱讀。

·22.9萬字

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數(shù)字化轉(zhuǎn)型方法論：落地路徑與數(shù)據(jù)中臺

本書的寫作目的是讓企業(yè)管理者以及行長、校長等組織領(lǐng)導(dǎo)更清楚如何進行數(shù)字化轉(zhuǎn)型、如何分工/協(xié)同、如何保障轉(zhuǎn)型成功落地、如何低成本/低風(fēng)險地轉(zhuǎn)型，從而讓中國企業(yè)在數(shù)字化轉(zhuǎn)型上少走彎路，讓研發(fā)人員、業(yè)務(wù)人員和廣大數(shù)據(jù)從業(yè)者及數(shù)據(jù)技術(shù)愛好者了解數(shù)字化轉(zhuǎn)型及數(shù)據(jù)中臺的落地路徑與實施方法，知道如何配合高層執(zhí)行轉(zhuǎn)型方案。本書采用理論與實踐相結(jié)合的方法，介紹企業(yè)如何從戰(zhàn)略、人才、技術(shù)三個角度實現(xiàn)數(shù)字化轉(zhuǎn)型，為讀者提供數(shù)字化轉(zhuǎn)型落地方法和實施指導(dǎo)，適合企業(yè)高層和中層團隊多個角色一起學(xué)習(xí)，上下同欲，威力強大！本書內(nèi)容分為8個部分，層層剖析數(shù)字化轉(zhuǎn)型之路，并為讀者詳細解讀數(shù)字化轉(zhuǎn)型的實施路徑。

·15.7萬字

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ECharts數(shù)據(jù)可視化：入門、實戰(zhàn)與進階

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