Review,'Amust-readresourceforanyonewhoisseriousaboutembracingtheopportunityofbigdata.',--CraigVaughan,GlobalVicePresidentatSAP,'Thisbookgoesbeyonddataanalytics101.It'stheessentialguideforthoseofus(allofus?)whosebusinessesarebuiltontheubiquityofdataopportunitiesandthenewmandatefordata-drivendecision-making.',--TomPhillips,CEOofMedia6DegreesandFormerHeadofGoogleSearchandAnalytics,'Dataisthefoundationofnewwavesofproductivitygrowth,innovation,andrichercustomerinsight.Onlyrecentlyviewedbroadlyasasourceofcompetitiveadvantage,dealingwellwithdataisrapidlybecomingtablestakestostayinthegame.Theauthors'deepappliedexperiencemakesthisamustread--awindowintoyourcompetitor'sstrategy.',--AlanMurray,SerialEntrepreneur;PartneratCoriolisVentures,'Thistimelybooksaysoutloudwhathasfinallybecomeapparent:inthemodernworld,DataisBusiness,andyoucannolongerthinkbusinesswithoutthinkingdata.ReadthisbookandyouwillunderstandtheSciencebehindthinkingdata.',--RonBekkerman,ChiefDataOfficeratCarmelVentures,'Agreatbookforbusinessmanagerswholeadorinteractwithdatascientists,whowishtobetterunderstandtheprinciplesandalgorithmsavailablewithoutthetechnicaldetailsofsingle-disciplinarybooks.',--RonnyKohavi,PartnerArchitectatMicrosoftOnlineServicesDivision,AbouttheAuthor,FosterProvostisProfessorandNECFacultyFellowattheNYUSternSchoolofBusinesswhereheteachesintheMBA,BusinessAnalytics,andDataScienceprograms.Hisaward-winningresearchisreadandcitedbroadly.Prof.Provosthasco-foundedseveralsuccessfulcompaniesfocusingondatascienceformarketing.,TomFawcettholdsaPh.D.inmachinelearningandhasworkedinindustryR&DformorethantwodecadesforcompaniessuchasGTELaboratories,NYNEX/VerizonLabs,andHPLabs.Hispublishedworkhasbecomestandar

BigDataAnalyticswithJava英文无水印pdfpdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开本资源转载自网络，如有侵权，请联系上传者或csdn删除本资源转载自网络，如有侵权，请联系上传者或csdn删除

BeginningHaskell;HaskellDataAnalysisCookbook;HaskellFinancialDataModelingandPredictiveAnalytics;LearningHaskellDataAnalysis;PracticalStatisticsforDataScientists;倾心收集资料,祝愿大家开心下载;

DeriveusefulinsightsfromyourdatausingPython.Learnthetechniquesrelatedtonaturallanguageprocessingandtextanalytics,andgaintheskillstoknowwhichtechniqueisbestsuitedtosolveaparticularproblem.TextAnalyticswithPythonteachesyoubothbasicandadvancedconcepts,includingtextandlanguagesyntax,structure,semantics.Youwillfocusonalgorithmsandtechniques,suchastextclassification,clustering,topicmodeling,andtextsummarization.Astructuredandcomprehensiveapproachisfollowedinthisbooksothatreaderswithlittleornoexperiencedonotfindthemselvesoverwhelmed.YouwillstartwiththebasicsofnaturallanguageandPythonandmoveontoadvancedanalyticalandmachinelearningconcepts.Youwilllookateachtechniqueandalgorithmwithbothabird'seyeviewtounderstandhowitcanbeusedaswellaswithamicroscopicviewtounderstandthemathematicalconceptsandtoimplementthemtosolveyourownproblems.ThisbookProvidescompletecoverageofthemajorconceptsandtechniquesofnaturallanguageprocessing(NLP)andtextanalyticsIncludespracticalreal-worldexamplesoftechniquesforimplementation,suchasbuildingatextclassificationsystemtocategorizenewsarticles,analyzingapporgamereviewsusingtopicmodelingandtextsummarization,andclusteringpopularmoviesynopsesandanalyzingthesentimentofmoviereviewsShowsimplementationsbasedonPythonandseveralpopularopensourcelibrariesinNLPandtextanalytics,suchasthenaturallanguagetoolkit(nltk),gensim,scikit-learn,spaCyandPatternWhatyouwilllearnNaturalLanguageconceptsAnalyzingTextsyntaxandstructureTextClassificationTextClusteringandSimilarityanalysisTextSummarizationSemanticandSentimentanalysisReadershipThebookisforITprofessionals,analysts,developers,linguisticexperts,datascientists,andanyonewithakeeninterestinlinguistics,analytics,andgeneratinginsightsfrom

Thisin-depthguideprovidesmanagerswithasolidunderstandingofdataanddatatrends,theopportunitiesthatitcanoffertobusinesses,andthedangersofthesetechnologies.Writteninanaccessiblestyle,StevenFinlayprovidesacontextualroadmapfordevelopingsolutionsthatdeliverbenefitstoorganizations.TableofContentsChapter1IntroductionChapter2UsingPredictiveModelsChapter3Analytics,OrganizationAndCultureChapter4TheValueOfDataChapter5EthicsAndLegislationChapter6TypesOfPredictiveModelsChapter7ThePredictiveAnalyticsProcessChapter8HowToBuildAPredictiveModelChapter9TextMiningAndSocialNetworkAnalysisChapter10Hardware,SoftwareAndAllThatJazzAppendixA.GlossaryofTermsAppendixB.FurtherSourcesofInformationAppendixC.LiftChartsandGainCharts

大数据的书籍，非常的帮，BigDataAnalyticsTurningBigDataintoBigMoney

azure-aks-terraform：这是一个快速示例，显示了如何使用来自Terraform的AzureLogAnalytics在Azure上部署Kubernetes

PracticalGraphAnalyticswithApacheGiraphhelpsyoubuilddataminingandmachinelearningapplicationsusingtheApacheFoundation'sGiraphframeworkforgraphprocessing.ThisisthesameframeworkasusedbyFacebook,Google,andothersocialmediaanalyticsoperationstoderivebusinessvaluefromvastamountsofinterconnecteddatapoints.Graphsariseinawealthofdatascenariosanddescribetheconnectionsthatarenaturallyformedinbothdigitalandrealworlds.ExamplesofsuchconnectionsaboundinonlinesocialnetworkssuchasFacebookandTwitter,amonguserswhoratemoviesfromserviceslikeNetflixandAmazonPrime,andareusefuleveninthecontextofbiologicalnetworksforscientificresearch.Whetherinthecontextofbusinessorscience,viewingdataasconnectedaddsvaluebyincreasingtheamountofinformationavailabletobedrawnfromthatdataandputtouseingeneratingnewrevenueorscientificopportunities.ApacheGiraphoffersasimpleyetflexibleprogrammingmodeltargetedtographalgorithmsanddesignedtoscaleeasilytoaccommodatemassiveamountsofdata.OriginallydevelopedatYahoo!,Giraphisnowatoptop-levelprojectattheApacheFoundation,anditenlistscontributorsfromcompaniessuchasFacebook,LinkedIn,andTwitter.

这是一本很有用的数据分析教程，可以教你利用数据分析，帮助你更好的创业。

Build,manage,andconfigurehigh-performing,reliableNoSQLdatabaseforyourapplicationswithCassandraKeyFeaturesWriteprogramsmoreefficientlyusingCassandra'sfeatureswiththehelpofexamplesConfigureCassandraandfine-tuneitsparametersdependingonyourneedsIntegrateCassandradatabasewithApacheSparkandbuildstrongdataanalyticspipeline

在日常工作中，钉钉打卡成了我生活中不可或缺的一部分。然而，有时候这个看似简单的任务却给我带来了不少烦恼。 每天早晚，我总是得牢记打开钉钉应用，点击"工作台"，再找到"考勤打卡"进行签到。有时候因为工作忙碌，会忘记打卡，导致考勤异常，影响当月的工作评价。而且，由于我使用的是苹果手机，有时候系统更新后，钉钉的某些功能会出现异常，使得打卡变得更加麻烦。 另外，我的家人使用的是安卓手机，他们也经常抱怨钉钉打卡的繁琐。尤其是对于那些不太熟悉手机操作的长辈来说，每次打卡都是一次挑战。他们总是担心自己会操作失误，导致打卡失败。 为了解决这些烦恼，我开始思考是否可以通过编写一个全自动化脚本来实现钉钉打卡。经过一段时间的摸索和学习，我终于成功编写出了一个适用于苹果和安卓系统的钉钉打卡脚本。