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Spring MVC Beginner’s Guide
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Spring MVC Beginner’s Guide

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

Amuthan G ·數據庫 ·6.2萬字

JMeter Cookbook
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JMeter Cookbook

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

Bayo Erinle ·數據庫 ·5.1萬字

Learning Construct 2
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Learning Construct 2

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

Aryadi Subagio ·數據庫 ·5.8萬字

Artificial Intelligence for Big Data
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Artificial Intelligence for Big Data

Thisbookisforyouifyouareadatascientist,bigdataprofessional,ornovicewhohasbasicknowledgeofbigdataandwishtogetproficiencyinArtificialIntelligencetechniquesforbigdata.Somecompetenceinmathematicsisanaddedadvantageinthefieldofelementarylinearalgebraandcalculus.

Anand Deshpande Manish Kumar ·數據庫 ·8.4萬字

Google Cloud Platform for Architects
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Google Cloud Platform for Architects

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

Vitthal Srinivasan Janani Ravi Judy Raj ·數據庫 ·6.5萬字

Learn Unity ML-Agents：Fundamentals of Unity Machine Learning
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Learn Unity ML-Agents：Fundamentals of Unity Machine Learning

ThisbookisintendedfordeveloperswithaninterestinusingMachinelearningalgorithmstodevelopbettergamesandsimulationswithUnity.ThereaderwillberequiredtohaveaworkingknowledgeofC#andabasicunderstandingofPython.

Micheal Lanham ·數據庫 ·4萬字

GitHub Essentials
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GitHub Essentials

ThisbookisforexperiencedornovicedeveloperswithabasicknowledgeofGit.IfyoueverwantedtolearnhowbigprojectssuchasTwitter,Google,orevenGitHubcollaborateoncode,thenthisbookisforyou.

Achilleas Pipinellis ·數據庫 ·2.5萬字

Continuous Delivery and DevOps：A Quickstart Guide
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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

Paul Swartout ·數據庫 ·7.7萬字

Hands-On Meta Learning with Python
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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.

Sudharsan Ravichandiran ·數據庫 ·4萬字

Hands-On Deep Learning for Games
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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.

Micheal Lanham ·數據庫 ·8.2萬字

Hands-On Design Patterns with Java
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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.

Dr. Edward Lavieri ·數據庫 ·5.2萬字

Cognitive Computing with IBM Watson
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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.

Rob High Tanmay Bakshi ·數據庫 ·4.8萬字

Deep Learning with R for Beginners
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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.

Mark Hodnett Joshua F. Wiley Yuxi (Hayden) Liu Pablo Maldonado ·數據庫 ·11.5萬字

Learn Selenium
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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.

Unmesh Gundecha Carl Cocchiaro ·數據庫 ·8.8萬字

Applying Math with Python
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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.

Sam Morley ·數據庫 ·8.1萬字

大數據技術體系詳解：原理、架構與實踐
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大數據技術體系詳解：原理、架構與實踐

隨著大數據技術的普及，它已經被廣泛應用于互聯網、電信、金融、工業制造等諸多行業。據相關報告統計，大數據人才需求呈井噴態勢，越來越多的程序員開始學習大數據技術，這使得它已經成為程序員所需的基本技能。為了滿足大數據人才市場需求，越來越多的大數據技術書籍不斷面世，包括《Hadoop權威指南》《Hadoop實戰》等。盡管如此，面向初、中級學者，能夠系統化、體系化介紹大數據技術的基礎書籍并不多見。筆者曾接觸過大量大數據初學者，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據書籍出現。為了滿足這些讀者的需求，筆者根據自己多年的數據項目和培訓經驗，繼《Hadoop技術內幕》書籍之后，于兩年前開始嘗試編寫一本淺顯易讀的大數據基礎書籍。

董西成 ·數據庫 ·17.2萬字

云計算服務保障體系
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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。

林果園 ·數據庫 ·9.5萬字

算法設計與分析
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算法設計與分析

為了便于讀者進行系統學習、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、動態規劃、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，規范算法設計、分析及實現的方法。書中例題的問題分析和模型設計模塊用于培養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環節，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。

張小東主編 ·數據庫 ·9.4萬字

云數據中心基礎
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云數據中心基礎

本教材共介紹7個項目，項目1為云數據中心認知，主要介紹了什么是數據中心、云數據中心的特點、體系結構、云數據中心和傳統數據中心的區別、綠色數據的概念以及發展趨勢。項目2介紹了云數據中心的規劃與設計，主要包括云數據中心的設計建設的指標、基礎設施的規劃以及云數據中心的優化策略。項目3介紹了云數據中心的硬件選型，主要包括服務器設備、網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。

戴經國 何豐 王國濱 郭炳宇 姜善永 ·數據庫 ·12.1萬字

MySQL數據庫基礎實例教程
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MySQL數據庫基礎實例教程

本書較全面地介紹了MySQL數據庫的基礎知識及其應用。本書共11章，包括數據庫基礎，MySQL的安裝與配置，數據庫的基本操作，數據表的基本操作，表數據的增、改、刪操作，數據查詢，視圖，索引，存儲過程與觸發器，事務，數據安全等內容。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個不同的數據庫項目貫穿始末。本書既可作為計算機相關專業和非計算機專業數據庫基礎或數據庫開發課程的教材，也可作為計算機軟件開發人員、從事數據庫管理與維護工作的專業人員、廣大計算機愛好者的自學用書。

汪曉青主編 ·數據庫 ·7.8萬字

QQ閱讀手機版

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