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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.

·7.8萬字

機器人輔助C程序設計

本書以小型機器人的大腦組成和編程、伺服電機的控制編程、觸覺傳感器導航控制和紅外傳感器的導航控制、機器人循線控制等為核心內容，并結合機器人游中國和機器人智能搬運等中國教育機器人大賽競賽項目，將C語言的軟件設計思路和方法融入到這些核心的任務當中。通過實踐這些實踐項目，然后總結歸納，培養學生觀察、實踐、歸納、分析和推理的科學精神和實踐技能。

Python Machine Learning By Example

Thesurgeininterestinmachinelearning(ML)isduetothefactthatitrevolutionizesautomationbylearningpatternsindataandusingthemtomakepredictionsanddecisions.Ifyou’reinterestedinML,thisbookwillserveasyourentrypointtoML.PythonMachineLearningByExamplebeginswithanintroductiontoimportantMLconceptsandimplementationsusingPythonlibraries.Eachchapterofthebookwalksyouthroughanindustryadoptedapplication.You’llimplementMLtechniquesinareassuchasexploratorydataanalysis,featureengineering,andnaturallanguageprocessing(NLP)inaclearandeasy-to-followway.Withthehelpofthisextendedandupdatededition,you’llunderstandhowtotackledata-drivenproblemsandimplementyoursolutionswiththepowerfulyetsimplePythonlanguageandpopularPythonpackagesandtoolssuchasTensorFlow,scikit-learn,gensim,andKeras.ToaidyourunderstandingofpopularMLalgorithms,thebookcoversinterestingandeasy-to-followexamplessuchasnewstopicmodelingandclassification,spamemaildetection,stockpriceforecasting,andmore.Bytheendofthebook,you’llhaveputtogetherabroadpictureoftheMLecosystemandwillbewell-versedwiththebestpracticesofapplyingMLtechniquestomakethemostoutofnewopportunities.

操作系統與網絡服務器使用與管理（Windows Server 2003）

本書是教育部職業教育與成人教育司推薦教材《操作系統與網絡服務器使用與管理》的升級版本。將網絡操作系統由Windowsserver2000升級到了Windowsserver2003。本書以Windowsserver2003網絡操作系統為例介紹了網絡操作系統的安裝、配置、管理與維護，以及操作系統的安全性管理。同時以WindowsXPprofessional桌面操作系統為例，講解了如何在客戶端使其登錄到域。

Hands-On Linux for Architects

Itisveryimportanttounderstandtheflexibilityofaninfrastructurewhendesigninganefficientenvironment.Inthisbook,youwillcovereverythingfromLinuxcomponentsandfunctionalitiesthroughtohardwareandsoftwaresupport,whichwillhelpyoutoimplementandtuneeffectiveLinux-basedsolutions.ThisbookgetsstartedwithanoverviewofLinuxdesignmethodology.Next,youwillfocusonthecoreconceptsofdesigningasolution.Asyouprogress,youwillgaininsightsintothekindsofdecisionsyouneedtomakewhendeployingahigh-performancesolutionusingGlusterFileSystem(GlusterFS).Inthenextsetofchapters,thebookwillguideyouthroughthetechniqueofusingKubernetesasanorchestratorfordeployingandmanagingcontainerizedapplications.Inadditiontothis,youwilllearnhowtoapplyandconfigureKubernetesforyourNGINXapplication.You’llthenlearnhowtoimplementanELKstack,whichiscomposedofElasticsearch,Logstash,andKibana.Intheconcludingchapters,youwillfocusoninstallingandconfiguringaSaltstacksolutiontomanagedifferentLinuxdistributions,andexploreavarietyofdesignbestpractices.Bytheendofthisbook,youwillbewell-versedwithdesigningahigh-performingcomputingenvironmentforcomplexapplicationstorunon.Bytheendofthebook,youwillhavedelvedinsidethemostdetailedtechnicalconditionsofdesigningasolution,andyouwillhavealsodissectedeveryaspectindetailinordertoimplementandtuneopensourceLinux-basedsolutions.

Keras Reinforcement Learning Projects

ReinforcementlearninghasevolvedalotinthelastcoupleofyearsandproventobeasuccessfultechniqueinbuildingsmartandintelligentAInetworks.KerasReinforcementLearningProjectsinstallshuman-levelperformanceintoyourapplicationsusingalgorithmsandtechniquesofreinforcementlearning,coupledwithKeras,afasterexperimentallibrary.ThebookbeginswithgettingyouupandrunningwiththeconceptsofreinforcementlearningusingKeras.You’lllearnhowtosimulatearandomwalkusingMarkovchainsandselectthebestportfoliousingdynamicprogramming(DP)andPython.You’llalsoexploreprojectssuchasforecastingstockpricesusingMonteCarlomethods,deliveringvehicleroutingapplicationusingTemporalDistance(TD)learningalgorithms,andbalancingaRotatingMechanicalSystemusingMarkovdecisionprocesses.Onceyou’veunderstoodthebasics,you’llmoveontoModelingofaSegway,runningarobotcontrolsystemusingdeepreinforcementlearning,andbuildingahandwrittendigitrecognitionmodelinPythonusinganimagedataset.Finally,you’llexcelinplayingtheboardgameGowiththehelpofQ-Learningandreinforcementlearningalgorithms.Bytheendofthisbook,you’llnotonlyhavedevelopedhands-ontrainingonconcepts,algorithms,andtechniquesofreinforcementlearningbutalsobeallsettoexploretheworldofAI.

動畫制作

本書是專門針對建模人員出版的一本書，它全面系統地講解了3dsMax在模型制作方面的應用知識。本書采用3dsMax軟件功能介紹與實例制作相結合的教學方式，力求使讀者正確掌握利用3dsMax建模的方式方法。本書分為基礎動畫和角色動畫兩大塊。基礎動畫主要講述了控制器動畫和一些常用修改器動畫；角色動畫主要講述了3dsMax中強大的CharacterStudio角色系統，以及自定義骨骼、蒙皮和自由形式的角色動畫制作。

數據庫應用技術：Visual FoxPro 6.0上機指導與練習

本書是全國中等職業學校《數據庫應用技術——VisualFoxPro6.0(第4版)》教材的配套上機指導與練習用書。

AWS Administration：The Definitive Guide（Second Edition）

ThisbookisforthosewhowanttolearnandleveragetherichplethoraofservicesprovidedbyAWS.AlthoughnopriorexperiencewithAWSisrequired,itisrecommendedthatyouhavesomehands-onexperienceofLinux,WebServices,andbasicnetworking.

仿人機器人開發指南

在機器人的發展歷程中，模仿人類一直是一個主流方向，無論是實現“雙足行走”，還是實現更多的復雜動作，乃至于結合更前沿的人工智能技術，機器人技術的應用都取得了不俗的成就。本書首先介紹了機器人的發展史和世界各國的機器人產業動向，然后講解了仿人機器人相關的技術，例如運動學、動力學、Bioloid機器人、動作生成等技術細節。另外，本書還結合具體的機器人案例給出了相應的編程方法。本書適合有一定MATLAB基礎的理工科學生或工程師閱讀，讀者能夠結合Bioloid機器人完成一些有趣的機器人實驗，在實踐中感受機器人的魅力，掌握實用的編程技巧。

機器學習案例分析（基于Python語言）

本書共5章內容，主要結合目前流行的人工智能編程語言Python對機器學習案例進行分析，介紹機器學習的相關理論，并展示使用機器學習方法解決實際應用問題的具體過程。本書包括基礎知識、分類案例、聚類案例、回歸預測案例和綜合案例，力爭通過通俗易懂的案例和代碼分析使讀者快速掌握機器學習的具體應用方法。本書既適合計算機相關專業人員，也適合非計算機相關專業人員閱讀。理論性強，較難理解的內容統一放在了附錄A中，這部分內容適合具備一定理論基礎、對機器學習理論推導有興趣的讀者。

Mastering D3.js

Ifyouareasoftwaredeveloperworkingwithdatavisualizationsandwanttobuildcomplexdatavisualizations,thisbookisforyou.BasicknowledgeofD3frameworkisexpected.Withreal-worldexamples,youwilllearnhowtostructureyourapplicationstocreateenterprise-levelchartsandinteractivedashboards.

絕美Maya

本書為SIGGRAPH入選動畫電影短片《佳人》的創作經驗解析，以一個短片創作者視角，以動畫創作的選題立意、原畫分鏡、三維美術設計與運用、動畫設計與運用、三維特效、后期合成、音樂、周邊調研等為主線，層層深入，給讀者以全程指導。全書分前期、中期、后期三個部分，對動畫制作的每個環節都進行講解指導，從本質的技術和藝術價值上進行解剖、引導，同時以管理者的身份對項目進行統籌和規范，培養影視動畫從業人員的各方面素質，是影視動畫領域一本不可多得的參考書。

Learn SOLIDWORKS 2020

SOLIDWORKSistheleadingchoicefor3Dengineeringandproductdesignapplicationsacrossindustriessuchasaviation,automobiles,andconsumerproductdesign.ThisbooktakesapracticalapproachtogettingyouupandrunningwithSOLIDWORKS2020.You'llstartwiththebasics,exploringthesoftwareinterfaceandworkingwithdrawingfiles.Thebookthenguidesyouthroughtopicssuchassketching,buildingcomplex3Dmodels,generatingdynamicandstaticassemblies,andgenerating2Dengineeringdrawingstoequipyouformechanicaldesignprojects.You'llalsodopracticalexercisestogethands-onwithcreatingsketches,3Dpartmodels,assemblies,anddrawings.ToreinforceyourunderstandingofSOLIDWORKS,thebookissupplementedbydownloadablefilesthatwillhelpyoufollowupwiththeconceptsandexercisesfoundinthebook.Bytheendofthisbook,you'llhavegainedtheskillsyouneedtocreateprofessional3DmechanicalmodelsusingSOLIDWORKS,andyou'llbeabletoprepareeffectivelyfortheCertifiedSOLIDWORKSAssociate(CSWA)andCertifiedSOLIDWORKSProfessional(CSWP)exams.

Pig Design Patterns

Acomprehensivepracticalguidethatwalksyouthroughthemultiplestagesofdatamanagementinenterpriseandgivesyounumerousdesignpatternswithappropriatecodeexamplestosolvefrequentproblemsineachofthesestages.ThechaptersareorganizedtomimickthesequentialdataflowevidencedinAnalyticsplatforms,buttheycanalsobereadindependentlytosolveaparticulargroupofproblemsintheBigDatalifecycle.IfyouareanexperienceddeveloperwhoisalreadyfamiliarwithPigandislookingforausecasestandpointwheretheycanrelatetotheproblemsofdataingestion,profiling,cleansing,transforming,andegressingdataencounteredintheenterprises.KnowledgeofHadoopandPigisnecessaryforreaderstograsptheintricaciesofPigdesignpatternsbetter.

CPLD/FPGA技術應用

本書采用教、學、練一體化教學模式。全書分為6個學習項目。學習項目1簡要介紹EDA技術的基本知識、原理圖輸入法及進行電路設計的基本流程；學習項目2介紹可編程邏輯器件(CPLD與FPGA)的芯片結構與工作原理以及層次化電路原理圖輸入方法；學習項目3介紹VHDL硬件描述語言程序的基本結構與文本法電路設計軟件使用流程；學習項目4～6分別介紹相關的VHDL語法及編程技巧等。本書配有免費的電子教學課件、練習題參考答案和精品課鏈接網址，詳見前言。

Learn Grafana 7.0

Grafanaisanopen-sourceanalyticalplatformusedtoanalyzeandmonitoringtime-seriesdata.Thisbeginner'sguidewillhelpyougettogripswithGrafana'snewfeaturesforquerying,visualizing,andexploringmetricsandlogsnomatterwheretheyarestored.ThebookbeginsbyshowingyouhowtoinstallandsetuptheGrafanaserver.You'llexploretheworkingmechanismofvariouscomponentsoftheGrafanainterfacealongwithitssecurityfeatures,andlearnhowtovisualizeandmonitordatausing,InfluxDB,Prometheus,Logstash,andElasticsearch.ThisGrafanabookcoverstheadvancedfeaturesoftheGraphpanelandshowsyouhowStat,Table,BarGauge,andTextareused.You'llbuilddynamicdashboardstoperformend-to-endanalyticsandlabelandorganizedashboardsintofolderstomakethemeasiertofind.Asyouprogress,thebookdelvesintotheadministrativeaspectsofGrafanabycreatingalerts,settingpermissionsforteams,andimplementinguserauthentication.AlongwithexploringGrafana'smulti-cloudmonitoringsupport,you'llalsolearnaboutGrafanaLoki,whichisabackendloggerforusersrunningPrometheusandKubernetes.Bytheendofthisbook,you'llhavegainedalltheknowledgeyouneedtostartbuildinginteractivedashboards.