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AWS：Security Best Practices on AWS
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AWS：Security Best Practices on AWS

ThisbookisforallITprofessionals,systemadministrators,securityanalysts,solutionarchitects,andchiefinformationsecurityofficerswhoareresponsibleforsecuringworkloadsinAWSfortheirorganizations.

Albert Anthony ·自動化 ·2.8萬字

多變量過程智能優化辨識理論及應用
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多變量過程智能優化辨識理論及應用

本專著主要探討面向控制工程需求的多變量過程辨識的應用理論問題，探索可工程實現的多變量過程辨識新方法和新技術。本專著給出一種多變量過程模型智能優化辨識問題陳述，提出了多變量過程模型辨識準確度計算與評價方法,提出了多變量過程的模型框架和結構確定方法,提出了多變量過程模型準確辨識的激勵條件,提出了融入機理分析建模的多變量過程模型辨識思路,提出了基于M批不相關自然激勵和匯總智能優化的多變量過程辨識理論,通過再熱汽溫過程、過熱汽溫過程和脫硝過程的建模案例研究驗證了所提出的關于多變量過程模型辨識新理論方法的有效性。本專著盡力避免晦澀難懂和故弄玄虛的理論闡述，專注于可解決工程實際問題的應用理論問題研究。所提出的理論方法和應用技術可認為是當前流行的大數據分析中急需的一種人工智能應用技術——數據驅動建模技術。本專著適合于從事控制理論應用研究以及有關大數據分析、人工智能、智能工廠、智能機器和智能識別研究的高校師生和研究所研究員參考，也適合于從事電力、化工、信息、能源等產業的有關自動化及智能裝備的研發維護工程師和技術人員閱讀。

楊平等 ·自動化 ·9.4萬字

Matplotlib 3.0 Cookbook
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Matplotlib 3.0 Cookbook

Matplotlibprovidesalargelibraryofcustomizableplots,alongwithacomprehensivesetofbackends.Matplotlib3.0Cookbookisyourhands-onguidetoexploringtheworldofMatplotlib,andcoversthemosteffectiveplottingpackagesforPython3.7.Withthehelpofthiscookbook,you'llbeabletotackleanyproblemyoumightcomeacrosswhiledesigningattractive,insightfuldatavisualizations.Withthehelpofover150recipes,you'lllearnhowtodevelopplotsrelatedtobusinessintelligence,datascience,andengineeringdisciplineswithhighlydetailedvisualizations.Onceyou'vefamiliarizedyourselfwiththefundamentals,you'llmoveontodevelopingprofessionaldashboardswithawidevarietyofgraphsandsophisticatedgridlayoutsin2Dand3D.You'llannotateandaddrichtexttotheplots,enablingthecreationofabusinessstoryline.Inadditiontothis,you'lllearnhowtosavefiguresandanimationsinvariousformatsfordownstreamdeployment,followedbyextendingthefunctionalityofferedbyvariousinternalandthird-partytoolkits,suchasaxisartist,axes_grid,Cartopy,andSeaborn.Bytheendofthisbook,you'llbeabletocreatehigh-qualitycustomizedplotsanddeploythemonthewebandonsupportedGUIapplicationssuchasTkinter,Qt5,andwxPythonbyimplementingreal-worldusecasesandexamples.

Srinivasa Rao Poladi ·自動化 ·10.7萬字

Python Algorithmic Trading Cookbook
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Python Algorithmic Trading Cookbook

IfyouwanttofindouthowyoucanbuildasolidfoundationinalgorithmictradingusingPython,thiscookbookisheretohelp.StartingbysettingupthePythonenvironmentfortradingandconnectivitywithbrokers,you’llthenlearntheimportantaspectsoffinancialmarkets.Asyouprogress,you’lllearntofetchfinancialinstruments,queryandcalculatevarioustypesofcandlesandhistoricaldata,andfinally,computeandplottechnicalindicators.Next,you’lllearnhowtoplacevarioustypesoforders,suchasregular,bracket,andcoverorders,andunderstandtheirstatetransitions.Laterchapterswillcoverbacktesting,papertrading,andfinallyrealtradingforthealgorithmicstrategiesthatyou'vecreated.You’llevenunderstandhowtoautomatetradingandfindtherightstrategyformakingeffectivedecisionsthatwouldotherwisebeimpossibleforhumantraders.Bytheendofthisbook,you’llbeabletousePythonlibrariestoconductkeytasksinthealgorithmictradingecosystem.Note:Fordemonstration,we'reusingZerodha,anIndianStockMarketbroker.Ifyou'renotanIndianresident,youwon'tbeabletouseZerodhaandthereforewillnotbeabletotesttheexamplesdirectly.However,youcantakeinspirationfromthebookandapplytheconceptsacrossyourpreferredstockmarketbrokerofchoice.

Pushpak Dagade ·自動化 ·10萬字

PyTorch 1.x Reinforcement Learning Cookbook
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PyTorch 1.x Reinforcement Learning Cookbook

Reinforcementlearning(RL)isabranchofmachinelearningthathasgainedpopularityinrecenttimes.ItallowsyoutotrainAImodelsthatlearnfromtheirownactionsandoptimizetheirbehavior.PyTorchhasalsoemergedasthepreferredtoolfortrainingRLmodelsbecauseofitsefficiencyandeaseofuse.Withthisbook,you'llexploretheimportantRLconceptsandtheimplementationofalgorithmsinPyTorch1.x.Therecipesinthebook,alongwithreal-worldexamples,willhelpyoumastervariousRLtechniques,suchasdynamicprogramming,MonteCarlosimulations,temporaldifference,andQ-learning.You'llalsogaininsightsintoindustry-specificapplicationsofthesetechniques.Laterchapterswillguideyouthroughsolvingproblemssuchasthemulti-armedbanditproblemandthecartpoleproblemusingthemulti-armedbanditalgorithmandfunctionapproximation.You'llalsolearnhowtouseDeepQ-NetworkstocompleteAtarigames,alongwithhowtoeffectivelyimplementpolicygradients.Finally,you'lldiscoverhowRLtechniquesareappliedtoBlackjack,Gridworldenvironments,internetadvertising,andtheFlappyBirdgame.Bytheendofthisbook,you'llhavedevelopedtheskillsyouneedtoimplementpopularRLalgorithmsanduseRLtechniquestosolvereal-worldproblems.

Yuxi (Hayden) Liu ·自動化 ·6.6萬字

CentOS 8 Essentials
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CentOS 8 Essentials

Linuxkerneldevelopmentisperhapstheworld'slargestcollaborativeprojecttodate.WithCentOS8Essentials,you’llbegiveneasilyaccessibleinformationtoinstall,use,andadministertheCentOS8distribution.ThebookbeginswithaconcisehistoryoftheLinuxoperatingsystemandCentOS.You’llthenlearnhowtoinstallCentOS8usingthedualbootconfigurationsothatitcancoexistwithWindowsonthesamedrive.AfterinstallingCentOS,you’lllearnGNOME3—thedesktopenvironmentincludedwithCentOS8thathelpsyounavigatethroughthedistribution.Asyouprogress,you’llexploretheCockpitwebinterfacethatenablesyoutoperformtasksviaawebbrowserinsteadofusingthecommand-line.You’llthentakeabrieftouroftheBashshellenvironmentandlearnwaystoadministerasystemthatdoesn’thaveadesktoporaCockpitinterface.Whilelearningadvancedconcepts,you’llseehowtomanageswapspaceefficientlyandcontroltheperformanceofCentOS8.Bytheendofthebook,you’llhavealltheessentialinformationyouneedtocomfortablystartusingtheCentOS8distribution.

Neil Smyth ·自動化 ·6.4萬字

PostgreSQL High Performance Cookbook
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PostgreSQL High Performance Cookbook

IfyouareadeveloperoradministratorwithlimitedPostgreSQLknowledgeandwanttodevelopyourskillswiththisgreatopensourcedatabase,thenthisbookisidealforyou.Learninghowtoenhancethedatabaseperformanceisalwaysanexcitingtopictoeveryone,andthisbookwillshowyouenoughwaystoenhancethedatabaseperformance.

Chitij Chauhan Dinesh Kumar ·自動化 ·7.4萬字

隨機分布控制系統的故障診斷與容錯控制
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隨機分布控制系統的故障診斷與容錯控制

為了提高實際隨機分布控制系統的可靠性，關于隨機動態系統的故障診斷與容錯控制的研究一直是控制理論和應用的重要領域之一，非高斯隨機分布控制系統的故障診斷與容錯控制問題是一個長期存在的理論難題。本書系統、全面總結了非高斯隨機分布控制系統的故障診斷與容錯控制方面的理論研究成果，主要內容包括：隨機分布控制系統故障診斷與容錯控制的研究進展，有理平方根逼近的非高斯線性隨機分布控制系統的故障診斷與容錯控制，非高斯非線性隨機分布控制系統的集成故障診斷與容錯控制，非高斯奇異隨機分布控制系統的故障診斷與容錯控制設計新方法，考慮PDF逼近誤差的非高斯線性奇異時滯隨機分布控制系統的故障診斷與容錯控制，考慮PDF逼近誤差的非高斯不確定隨機分布控制系統的故障診斷與滑模容錯控制，非高斯非線性隨機分布控制系統的統計信息跟蹤容錯控制、基于模糊建模的非高斯非線性奇異隨機分布控制系統的故障診斷與容錯控制，非高斯奇異隨機分布控制系統的最小熵容錯控制，基于T-S模糊模型的非高斯奇異隨機分布控制系統的最小有理熵容錯控制。

姚利娜 ·自動化 ·5.8萬字

Getting Started with Containerization
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Getting Started with Containerization

Kubernetesisanopensourceorchestrationplatformformanagingcontainersinaclusterenvironment.ThisLearningPathintroducesyoutotheworldofcontainerization,inadditiontoprovidingyouwithanoverviewofDockerfundamentals.Asyouprogress,youwillbeabletounderstandhowKubernetesworkswithcontainers.StartingwithcreatingKubernetesclustersandrunningapplicationswithproperauthenticationandauthorization,you'lllearnhowtocreatehigh-availabilityKubernetesclustersonAmazonWebServices(AWS),andalsolearnhowtousekubeconfigtomanagedifferentclusters.WhetheritislearningaboutDockercontainersandDockerCompose,orbuildingacontinuousdeliverypipelineforyourapplication,thisLearningPathwillequipyouwithalltherighttoolsandtechniquestogetstartedwithcontainerization.BytheendofthisLearningPath,youwillhavegainedhands-onexperienceofworkingwithDockercontainersandorchestrators,includingSwarmKitandKubernetes.ThisLearningPathincludescontentfromthefollowingPacktproducts:KubernetesCookbook-SecondEditionbyHidetoSaito,Hui-ChuanChloeLee,andKe-JouCarolHsu.LearnDocker-FundamentalsofDocker18.xbyGabrielN.Schenker.

Gabriel N. Schenker Hideto Saito Hui Chuan Chloe Lee Ke Jou Carol Hsu ·自動化 ·13.9萬字

OpenGL Development Cookbook
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OpenGL Development Cookbook

ThebookiswritteninaCookbookformatwithpracticalrecipesaimedathelpingyouexploitOpenGLtoitsfullpotential.ThisbookistargetedtowardsintermediateOpenGLprogrammers.However,thosewhoarenewtoOpenGLandknowanalternateAPIlikeDirectXmightalsofindtheserecipesusefultocreateOpenGLanimations.

Muhammad Mobeen Movania ·自動化 ·5.9萬字

Mastering Predictive Analytics with scikit：learn and TensorFlow
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Mastering Predictive Analytics with scikit：learn and TensorFlow

Pythonisaprogramminglanguagethatprovidesawiderangeoffeaturesthatcanbeusedinthefieldofdatascience.MasteringPredictiveAnalyticswithscikit-learnandTensorFlowcoversvariousimplementationsofensemblemethods,howtheyareusedwithreal-worlddatasets,andhowtheyimprovepredictionaccuracyinclassificationandregressionproblems.Thisbookstartswithensemblemethodsandtheirfeatures.Youwillseethatscikit-learnprovidestoolsforchoosinghyperparametersformodels.Asyoumakeyourwaythroughthebook,youwillcoverthenitty-grittyofpredictiveanalyticsandexploreitsfeaturesandcharacteristics.YouwillalsobeintroducedtoartificialneuralnetworksandTensorFlow,andhowitisusedtocreateneuralnetworks.Inthefinalchapter,youwillexplorefactorssuchascomputationalpower,alongwithimprovementmethodsandsoftwareenhancementsforefficientpredictiveanalytics.Bytheendofthisbook,youwillbewell-versedinusingdeepneuralnetworkstosolvecommonproblemsinbigdataanalysis.

Alan Fontaine ·自動化 ·2.4萬字

Go Machine Learning Projects
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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.

Xuanyi Chew ·自動化 ·7.8萬字

Mastering ServiceNow Scripting
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Mastering ServiceNow Scripting

ThisbookistargetedtowardServiceNowadministratorsoranyonewillingtolearninbuiltJavaScriptAPIsusedtoscriptandcustomizeServiceNowinstances.PriorexperiencewithServiceNowisrequired.

Andrew Kindred ·自動化 ·4.6萬字

Linux Shell Scripting Cookbook（Third Edition）
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Linux Shell Scripting Cookbook（Third Edition）

IfyouareabeginneroranintermediateLinuxuserwhowantstomastertheskillofquicklywritingscriptsandautomatetaskswithoutreadingtheentiremanpages,thenthisbookisforyou.Youcanstartwritingscriptsandone-linersbysimplylookingattherelevantrecipeanditsdescriptionswithoutanyworkingknowledgeofshellscriptingorLinux.Intermediate/advancedusers,systemadministrators/developers,andprogrammerscanusethisbookasareferencewhentheyfaceproblemswhilecoding.

Clif Flynt Sarath Lakshman Shantanu Tushar ·自動化 ·10.9萬字

Mastering Metasploit
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Mastering Metasploit

Thisbookisahands-onguidetopenetrationtestingusingMetasploitandcoversitscompletedevelopment.ItshowsanumberoftechniquesandmethodologiesthatwillhelpyoumastertheMetasploitframeworkandexploreapproachestocarryingoutadvancedpenetrationtestinginhighlysecuredenvironments.

Nipun Jaswal ·自動化 ·6.3萬字

Seven NoSQL Databases in a Week
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Seven NoSQL Databases in a Week

IfyouareabuddingDBAoradeveloperwhowantstogetstartedwiththefundamentalsofNoSQLdatabases,thisbookisforyou.RelationalDBAswhowanttogetinsightsintothevariousofferingsofpopularNoSQLdatabaseswillalsofindthisbooktobeveryuseful.

Aaron Ploetz Devram Kandhare Sudarshan Kadambi Xun (Brian) Wu ·自動化 ·6.5萬字

Mastering PostGIS
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Mastering PostGIS

IfyouareaGISdeveloperoranalystwhowantstomasterPostGIStobuildefficient,scalableGISapplications,thisbookisforyou.Ifyouwanttoconductadvancedanalysisofspatialdata,thisbookwillalsohelpyou.ThebookassumesthatyouhaveaworkinginstallationofPostGISinplace,andhaveworkingexperiencewithPostgreSQL.

Dominik Mikiewicz Michal Mackiewicz Tomasz Nycz ·自動化 ·5.2萬字

IBM Watson Projects
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IBM Watson Projects

IBMWatsonprovidesfast,intelligentinsightinwaysthatthehumanbrainsimplycan'tmatch.Througheightvariedprojects,thisbookwillhelpyouexplorethecomputingandanalyticalcapabilitiesofIBMWatson.ThebookbeginsbyrefreshingyourknowledgeofIBMWatson'sbasicdatapreparationcapabilities,suchasaddingandexploringdatatoprepareitforbeingappliedtomodels.Theprojectscoveredinthisbookcanbedevelopedfordifferentindustries,includingbanking,healthcare,media,andsecurity.TheseprojectswillenableyoutodevelopanAImindsetandguideyouindevelopingsmartdata-drivenprojects,includingautomatingsupplychains,analyzingsentimentinsocialmediadatasets,anddevelopingpersonalizedrecommendations.Bytheendofthisbook,you'llhavelearnedhowtodevelopsolutionsforprocessautomation,andyou'llbeabletomakebetterdata-drivendecisionstodeliveranexcellentcustomerexperience.

James Miller ·自動化 ·4.7萬字

Artificial Intelligence By Example
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Artificial Intelligence By Example

ArtificialIntelligencebyExampleisasimple,explanatory,anddescriptiveguideforjuniordevelopers,experienceddevelopers,technologyconsultants,andthoseinterestedinAIwhowanttounderstandthefundamentalsofArtificialIntelligenceandimplementitpracticallybydevisingsmartsolutions.PriorexperiencewithPythonandstatisticalknowledgeisessentialtomakethemostoutofthisbook.

Denis Rothman ·自動化 ·10.3萬字

Apache Superset Quick Start Guide
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Apache Superset Quick Start Guide

ApacheSupersetisamodern,opensource,enterprise-readybusinessintelligence(BI)webapplication.Withthehelpofthisbook,youwillseehowSupersetintegrateswithpopulardatabaseslikePostgres,GoogleBigQuery,Snowflake,andMySQL.YouwilllearntocreaterealtimedatavisualizationsanddashboardsonmodernwebbrowsersforyourorganizationusingSuperset.First,welookatthefundamentalsofSuperset,andthengetitupandrunning.You'llgothroughtherequisiteinstallation,configuration,anddeployment.Then,wewilldiscussdifferentcolumnardatatypes,analytics,andthevisualizationsavailable.You'llalsoseethesecuritytoolsavailabletotheadministratortokeepyourdatasafe.Youwilllearnhowtovisualizerelationshipsasgraphsinsteadofcoordinatesonplainorthogonalaxes.Thiswillhelpyouwhenyouuploadyourownentityrelationshipdatasetandanalyzethedatasetinnew,differentways.Youwillalsoseehowtoanalyzegeographicalregionsbyworkingwithlocationdata.Finally,wecoverasetoftutorialsondashboarddesignsfrequentlyusedbyanalysts,businessintelligenceprofessionals,anddevelopers.

Shashank Shekhar ·自動化 ·2.2萬字

QQ閱讀手機版

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