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機器人工作站設計
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機器人工作站設計

本書結合理論知識與工程實例，通過高校與企業合作的三個典型工程應用案例，對教學用機器人工作站和自動化生產線進行剖析，詳細闡述機器人系統集成的設計方法，提出了一套針對高校教學用機器人工作站的設計理念、設計思路及設計方法，內容豐富實用，可為機器人教育及工程實踐提供理論指導與實踐參考。本書可作為高校機器人相關專業的課程指導用書，也可為從事工業機器人系統集成設計、機器人編程及電氣調試的工程技術人員提供理論指導。

桂偉 ·自動化 ·7.1萬字

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

Hands-On Recommendation Systems with Python
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Hands-On Recommendation Systems with Python

Recommendationsystemsareattheheartofalmosteveryinternetbusinesstoday;fromFacebooktoNet?ixtoAmazon.Providinggoodrecommendations,whetherit'sfriends,movies,orgroceries,goesalongwayindefininguserexperienceandenticingyourcustomerstouseyourplatform.Thisbookshowsyouhowtodojustthat.YouwilllearnaboutthedifferentkindsofrecommendersusedintheindustryandseehowtobuildthemfromscratchusingPython.Noneedtowadethroughtonsofmachinelearningtheory—you'llgetstartedwithbuildingandlearningaboutrecommendersasquicklyaspossible..Inthisbook,youwillbuildanIMDBTop250clone,acontent-basedenginethatworksonmoviemetadata.You'llusecollaborativefilterstomakeuseofcustomerbehaviordata,andaHybridRecommenderthatincorporatescontentbasedandcollaborativefilteringtechniquesWiththisbook,allyouneedtogetstartedwithbuildingrecommendationsystemsisafamiliaritywithPython,andbythetimeyou'refnished,youwillhaveagreatgraspofhowrecommendersworkandbeinastrongpositiontoapplythetechniquesthatyouwilllearntoyourownproblemdomains.

Rounak Banik ·自動化 ·2.9萬字

Scala for Machine Learning
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Scala for Machine Learning

AreyoucuriousaboutAI?AllyouneedisagoodunderstandingoftheScalaprogramminglanguage,abasicknowledgeofstatistics,akeeninterestinBigDataprocessing,andthisbook!

Patrick R. Nicolas ·自動化 ·10.4萬字

R Programming Fundamentals
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R Programming Fundamentals

RProgrammingFundamentals,focusedonRandtheRecosystem,introducesyoutothetoolsforworkingwithdata.Tostartwith,you’llunderstandyouhowtosetupRandRStudio,followedbyexploringRpackages,functions,datastructures,controlflow,andloops.Onceyouhavegraspedthebasics,you’llmoveontostudyingdatavisualizationandgraphics.You’lllearnhowtobuildstatisticalandadvancedplotsusingthepowerfulggplot2library.Inadditiontothis,you’lldiscoverdatamanagementconceptssuchasfactoring,pivoting,aggregating,merging,anddealingwithmissingvalues.Bytheendofthisbook,you’llhavecompletedanentiredatascienceprojectofyourownforyourportfolioorblog.

Kaelen Medeiros ·自動化 ·2.9萬字

Big Data Analysis with Python
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Big Data Analysis with Python

Processingbigdatainrealtimeischallengingduetoscalability,informationinconsistency,andfaulttolerance.BigDataAnalysiswithPythonteachesyouhowtousetoolsthatcancontrolthisdataavalancheforyou.Withthisbook,you'lllearnpracticaltechniquestoaggregatedataintousefuldimensionsforposterioranalysis,extractstatisticalmeasurements,andtransformdatasetsintofeaturesforothersystems.ThebookbeginswithanintroductiontodatamanipulationinPythonusingpandas.You'llthengetfamiliarwithstatisticalanalysisandplottingtechniques.Withmultiplehands-onactivitiesinstore,you'llbeabletoanalyzedatathatisdistributedonseveralcomputersbyusingDask.Asyouprogress,you'llstudyhowtoaggregatedataforplotswhentheentiredatacannotbeaccommodatedinmemory.You'llalsoexploreHadoop(HDFSandYARN),whichwillhelpyoutacklelargerdatasets.ThebookalsocoversSparkandexplainshowitinteractswithothertools.Bytheendofthisbook,you'llbeabletobootstrapyourownPythonenvironment,processlargefiles,andmanipulatedatatogeneratestatistics,metrics,andgraphs.

Ivan Marin Ankit Shukla Sarang VK ·自動化 ·4萬字

Bayesian Analysis with Python
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Bayesian Analysis with Python

ThesecondeditionofBayesianAnalysiswithPythonisanintroductiontothemainconceptsofappliedBayesianinferenceanditspracticalimplementationinPythonusingPyMC3,astate-of-the-artprobabilisticprogramminglibrary,andArviZ,anewlibraryforexploratoryanalysisofBayesianmodels.ThemainconceptsofBayesianstatisticsarecoveredusingapracticalandcomputationalapproach.Syntheticandrealdatasetsareusedtointroduceseveraltypesofmodels,suchasgeneralizedlinearmodelsforregressionandclassification,mixturemodels,hierarchicalmodels,andGaussianprocesses,amongothers.Bytheendofthebook,youwillhaveaworkingknowledgeofprobabilisticmodelingandyouwillbeabletodesignandimplementBayesianmodelsforyourowndatascienceproblems.Afterreadingthebookyouwillbebetterpreparedtodelveintomoreadvancedmaterialorspecializedstatisticalmodelingifyouneedto.

Osvaldo Martin ·自動化 ·8.6萬字

Cisco UCS Cookbook
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Cisco UCS Cookbook

Thisbookisforcompetentsystem/networkorstorageadministratorswhoareworkingwithCiscoUCS,butnowwanttolearnnewwaystocomputeUCS.

Victor Wu ·自動化 ·3.7萬字

Unity Multiplayer Games
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Unity Multiplayer Games

Aneasy-to-follow,tutorialmannerthatusesthelearning-by-exampleapproach.IfyouareadeveloperwhowantstostartmakingmultiplayergameswiththeUnitygameengine,thisbookisforyou.Thisbookassumesyouhavesomebasicexperiencewithprogramming.NopriorknowledgeoftheUnityIDEisrequired.

Alan R. Stagner ·自動化 ·4.4萬字

Keras Reinforcement Learning Projects
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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.

Giuseppe Ciaburro ·自動化 ·7.7萬字

Kubernetes on AWS
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Kubernetes on AWS

Dockercontainerspromisetoradicalizethewaydevelopersandoperationsbuild,deploy,andmanageapplicationsrunningonthecloud.Kubernetesprovidestheorchestrationtoolsyouneedtorealizethatpromiseinproduction.KubernetesonAWSguidesyouindeployingaproduction-readyKubernetesclusterontheAWSplatform.YouwillthendiscoverhowtoutilizethepowerofKubernetes,whichisoneofthefastestgrowingplatformsforproduction-basedcontainerorchestration,tomanageandupdateyourapplications.Kubernetesisbecomingthego-tochoiceforproduction-gradedeploymentsofcloud-nativeapplications.ThisbookcoversKubernetesfromfirstprinciples.YouwillstartbylearningaboutKubernetes'powerfulabstractions-PodsandServices-thatmakemanagingcontainerdeploymentseasy.Thiswillbefollowedbyaguidedtourthroughsettingupaproduction-readyKubernetesclusteronAWS,whilelearningthetechniquesyouneedtosuccessfullydeployandmanageyourownapplications.Bytheendofthebook,youwillhavegainedplentyofhands-onexperiencewithKubernetesonAmazonWebServices.Youwillalsohavepickedupsometipsondeployingandmanagingapplications,keepingyourclusterandapplicationssecure,andensuringthatyourwholesystemisreliableandresilienttofailure.

Ed Robinson ·自動化 ·6.4萬字

Splunk 7 Essentials（Third Edition）
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Splunk 7 Essentials（Third Edition）

ThisbookisforthebeginnerswhowanttogetwellversedintheservicesofferedbySplunk7.Ifyouwanttobeadata/businessanalystorwanttobeasystemadministrator,thisbookiswhatyouwant.NopriorknowledgeofSplunkisrequired.

J P Contreras Erickson Delgado Betsy Page Sigman ·自動化 ·3.4萬字

Machine Learning for Data Mining
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Machine Learning for Data Mining

Machinelearning(ML)combinedwithdataminingcangiveyouamazingresultsinyourdataminingworkbyempoweringyouwithseveralwaystolookatdata.Thisbookwillhelpyouimproveyourdataminingtechniquesbyusingsmartmodelingtechniques.ThisbookwillteachyouhowtoimplementMLalgorithmsandtechniquesinyourdataminingwork.Itwillenableyoutopairthebestalgorithmswiththerighttoolsandprocesses.Youwilllearnhowtoidentifypatternsandmakepredictionswithminimalhumanintervention.YouwillbuilddifferenttypesofMLmodels,suchastheneuralnetwork,theSupportVectorMachines(SVMs),andtheDecisiontree.Youwillseehowallofthesemodelsworksandwhatkindofdatainthedatasettheyaresuitedfor.Youwilllearnhowtocombinetheresultsofdifferentmodelsinordertoimproveaccuracy.Topicssuchasremovingnoiseandhandlingerrorswillgiveyouanaddededgeinmodelbuildingandoptimization.Bytheendofthisbook,youwillbeabletobuildpredictivemodelsandextractinformationofinterestfromthedataset

Jesus Salcedo ·自動化 ·2.3萬字

Apache Hadoop 3 Quick Start Guide
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Apache Hadoop 3 Quick Start Guide

ApacheHadoopisawidelyuseddistributeddataplatform.Itenableslargedatasetstobeefficientlyprocessedinsteadofusingonelargecomputertostoreandprocessthedata.ThisbookwillgetyoustartedwiththeHadoopecosystem,andintroduceyoutothemaintechnicaltopics,includingMapReduce,YARN,andHDFS.ThebookbeginswithanoverviewofbigdataandApacheHadoop.Then,youwillsetupapseudoHadoopdevelopmentenvironmentandamulti-nodeenterpriseHadoopcluster.Youwillseehowtheparallelprogrammingparadigm,suchasMapReduce,cansolvemanycomplexdataprocessingproblems.Thebookalsocoverstheimportantaspectsofthebigdatasoftwaredevelopmentlifecycle,includingqualityassuranceandcontrol,performance,administration,andmonitoring.YouwillthenlearnabouttheHadoopecosystem,andtoolssuchasKafka,Sqoop,Flume,Pig,Hive,andHBase.Finally,youwilllookatadvancedtopics,includingrealtimestreamingusingApacheStorm,anddataanalyticsusingApacheSpark.Bytheendofthebook,youwillbewellversedwithdifferentconfigurationsoftheHadoop3cluster.

Hrishikesh Vijay Karambelkar ·自動化 ·4萬字

人，機，生活
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人，機，生活

這是一本關于互聯網用戶體驗設計方面的書，本書通過講“用戶場景”，“生活場景”，“人與生活的故事”的寫作理念，表達了產品設計重點不是產品，也不是設計，最重要的是人的生活，讓產品設計圍繞人的生活進行的觀點。本書適用于現在正在從事及未來將要從事互聯網或移動互聯網相關工作的創業者，產品經理，用戶研究師，交互設計師，視覺設計師等，也可以作為相關專業學生的參考書。

彭力立編著 ·自動化 ·13.5萬字

ESP8266 Internet of Things Cookbook
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ESP8266 Internet of Things Cookbook

ThisbookistargetedatIOTenthusiastswhoarewellversedwithelectronicsconceptsandhaveaverybasicfamiliaritywiththeESP8266.Someexperiencewithprogrammingwillbeanadvantage.

Marco Schwartz ·自動化 ·5.2萬字

VMware Cross：Cloud Architecture
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VMware Cross：Cloud Architecture

Thisbookisforadministrators,CloudarchitectsandnetworkengineerswhowanttoglobalizetheirinfrastructureusingVMwareandAWSservices.Aninitialsetupofworkloadsanddatacenterisbeneficial.

Ajit Pratap Kundan ·自動化 ·10.1萬字

Learning C for Arduino
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Learning C for Arduino

Thisbookisforhobbyistswhohavenoknowledgeaboutprogrammingandmicrocontrollers,butarekeentolearnCprogrammingusingaveryaffordablehardwaredevice.

Syed Omar Faruk Towaha ·自動化 ·4.7萬字

Hands-On Microservices with Kubernetes
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Hands-On Microservices with Kubernetes

Kubernetesisamongthemostpopularopen-sourceplatformsforautomatingthedeployment,scaling,andoperationsofapplicationcontainersacrossclustersofhosts,providingacontainer-centricinfrastructure.Hands-OnMicroserviceswithKubernetesstartsbyprovidingyouwithin-depthinsightsintothesynergybetweenKubernetesandmicroservices.YouwilllearnhowtouseDelinkcious,whichwillserveasalivelabthroughoutthebooktohelpyouunderstandmicroservicesandKubernetesconceptsinthecontextofareal-worldapplication.Next,youwillgetuptospeedwithsettingupaCI/CDpipelineandconfiguringmicroservicesusingKubernetesConfigMaps.Asyoucoverlaterchapters,youwillgainhands-onexperienceinsecuringmicroservices,andimplementingREST,gRPCAPIs,andaDelinkciousdatastore.Inadditiontothis,you’llexploretheNuclioproject,runaserverlesstaskonKubernetes,andmanageandimplementdata-intensivetests.Towardtheconcludingchapters,you’lldeploymicroservicesonKubernetesandlearntomaintainawell-monitoredsystem.Finally,you’lldiscovertheimportanceofservicemeshesandhowtoincorporateIstiointotheDelinkciouscluster.Bytheendofthisbook,you’llhavegainedtheskillsyouneedtoimplementmicroservicesonKuberneteswiththehelpofeffectivetoolsandbestpractices.

Gigi Sayfan ·自動化 ·10.5萬字

IBM SPSS Modeler Essentials
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IBM SPSS Modeler Essentials

ThisbookisidealforthosewhoarenewtoSPSSModelerandwanttostartusingitasquicklyaspossible,withoutgoingintotoomuchdetail.Anunderstandingofbasicdataminingconceptswillbehelpful,togetthebestoutofthebook.

Jesus Salcedo Keith McCormick ·自動化 ·4.3萬字

QQ閱讀手機版

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