PG电子游艺一直输是怎么回事

Astep-by-steppragmaticapproachtowebapplicationdevelopmentusingSpringMVC,withrelevantscreenshotsandconciseexplanations.ThisbookisaimedathelpingJavadeveloperswhowanttoteachthemselvesSpringMVC,eveniftheyhavenopreviousexperiencewithSpringMVC.Itwouldbehelpfultohaveabitoffamiliaritywithbasicservletprogrammingconcepts,butnopriorexperienceisrequired.

·6.2萬字

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JMeter Cookbook

Thisbookisgreatforyouifyouareadeveloper,qualityassuranceengineer,tester,ortestmanagerwhoislookingtogetafirmergraspofelementary,deep,andadvancedtestingconceptsusingApacheJMeter.It’sassumedyouhaveaccesstoacomputerandanInternetconnection.Nopriortestingorprogrammingexperienceisrequired,butwouldbehelpful.

·5.1萬字

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Learning Construct 2

Ifyouwanttomakeyourowngamebutdon'tknowhowtostartordon'thavethetechnicalskillstodoit,thenthisisthebookforyou.Youdon'tneedtohaveaprogrammingbackgroundtounderstandtheconceptsexplained.

·5.8萬字

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Artificial Intelligence for Big Data

Thisbookisforyouifyouareadatascientist,bigdataprofessional,ornovicewhohasbasicknowledgeofbigdataandwishtogetproficiencyinArtificialIntelligencetechniquesforbigdata.Somecompetenceinmathematicsisanaddedadvantageinthefieldofelementarylinearalgebraandcalculus.

·8.4萬字

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Google Cloud Platform for Architects

IfyouareaCloudarchitectwhoisresponsibletodesignandmanagerobustcloudsolutionswithGoogleCloudPlatform,thenthisbookisforyou.SystemengineersandEnterprisearchitectswillalsofindthisbookuseful.Abasicunderstandingofdistributedapplicationswouldbehelpful,althoughnotstrictlynecessary.Someworkingexperienceonotherpubliccloudplatformswouldhelptoo.

·6.5萬字

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Learn Unity ML-Agents：Fundamentals of Unity Machine Learning

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)技術體系詳解：原理、架構與實踐

隨著大數(shù)據(jù)技術的普及，它已經(jīng)被廣泛應用于互聯(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習大數(shù)據(jù)技術，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)技術書籍不斷面世，包括《Hadoop權威指南》《Hadoop實戰(zhàn)》等。盡管如此，面向初、中級學者，能夠系統(tǒng)化、體系化介紹大數(shù)據(jù)技術的基礎書籍并不多見。筆者曾接觸過大量大數(shù)據(jù)初學者，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)項目和培訓經(jīng)驗，繼《Hadoop技術內(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)基礎書籍。

·17.2萬字

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云計算服務保障體系

云計算是一種商業(yè)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(huán)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(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；服務質量評價方面提出基于動態(tài)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(fā)、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(yè)高年級本科和研究生階段教材。

·9.5萬字

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算法設計與分析

為了便于讀者進行系統(tǒng)學習、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：算法設計基礎、算法效率分析基礎、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→模型設計→算法設計描述→算法分析為技術線路，幫助讀者迅速掌握算法設計要點，規(guī)范算法設計、分析及實現(xiàn)的方法。書中例題的問題分析和模型設計模塊用于培養(yǎng)讀者的抽象設計能力，算法設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)學工具對算法進行客觀分析。同時，本書編寫時也考慮到初學者所面臨的困難，在算法設計與描述中，刻意增加了基于源代碼的程序設計與實現(xiàn)環(huán)節(jié)，從而全方位地幫助讀者提高算法設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

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、體系結構、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)劃與設計，主要包括云數(shù)據(jù)中心的設計建設的指標、基礎設施的規(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，主要包括服務器設備、網(wǎng)絡設備以及存儲設備的介紹和選型。項目4到項目6則重點介紹了虛擬化技術、云計算技術和運維技術，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，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)庫基礎實例教程

本書較全面地介紹了MySQL數(shù)據(jù)庫的基礎知識及其應用。本書共11章，包括數(shù)據(jù)庫基礎，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，數(shù)據(jù)安全等內(nèi)容。本書采用案例教學方式，每章以應用實例的方式闡述知識要點，再通過實訓項目分析綜合應用，最后輔以思考與練習鞏固所學知識。應用實例、實訓項目、思考與練習這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專業(yè)和非計算機專業(yè)數(shù)據(jù)庫基礎或數(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用書。

·7.8萬字

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