mg不朽的情缘爆分技巧

ThisbookwillappealtoallthosewhowanttolearnaboutNAV'spowerfulandextensivebuilt-indevelopmentcapabilities.Itassumesthatyouunderstandprogrammingandarefamiliarwithbusinessapplicationsoftware,althoughyouaren’texpectedtohaveworkedwithNAVbefore.ERPconsultantsandmanagersofNAVdevelopmentwillalsofindthebookhelpful.

·13.9萬字

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中國重點經(jīng)濟(jì)領(lǐng)域統(tǒng)計分析

中國特色社會主義進(jìn)入了新時代，準(zhǔn)確地把握經(jīng)濟(jì)形勢、進(jìn)行科學(xué)的經(jīng)濟(jì)決策，對于實現(xiàn)高質(zhì)量發(fā)展和推進(jìn)供給側(cè)結(jié)構(gòu)性改革具有重要意義。《中國重點經(jīng)濟(jì)領(lǐng)域統(tǒng)計分析》就是在這樣的背景下適應(yīng)經(jīng)濟(jì)形勢分析的需要產(chǎn)生的。本書運用科學(xué)的統(tǒng)計和國民經(jīng)濟(jì)核算理論與方法，選擇房地產(chǎn)經(jīng)濟(jì)、汽車產(chǎn)業(yè)、高技術(shù)產(chǎn)業(yè)、固定資產(chǎn)投資、對外開放、居民收入分配、經(jīng)濟(jì)結(jié)構(gòu)、國際收支和金融運行等重點經(jīng)濟(jì)領(lǐng)域進(jìn)行了深入分析，從不同的角度反映了中國經(jīng)濟(jì)運行的特征，揭示了近年來中國經(jīng)濟(jì)在總體和結(jié)構(gòu)上發(fā)生的重大變化，闡釋了一些重點領(lǐng)域?qū)?jīng)濟(jì)增長和結(jié)構(gòu)轉(zhuǎn)型的重要作用，為保持經(jīng)濟(jì)持續(xù)健康發(fā)展和推進(jìn)供給側(cè)結(jié)構(gòu)性改革提供了可資借鑒的建議。

·10.7萬字

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生活中的統(tǒng)計學(xué)

如今大數(shù)據(jù)越來越熱，大小公司都希望能利用優(yōu)秀的數(shù)據(jù)分析來實現(xiàn)產(chǎn)品驅(qū)動，為公司創(chuàng)造更多利潤。要做好數(shù)據(jù)分析，就必須掌握一定的統(tǒng)計學(xué)知識，這引發(fā)了人們對統(tǒng)計學(xué)的熱情。而絕大多數(shù)人是沒有統(tǒng)計學(xué)的專業(yè)技能訓(xùn)練的。本書為您詳細(xì)介紹生活中的統(tǒng)計學(xué)內(nèi)容。全書內(nèi)容豐富，具有一定的知識性、理論性及閱讀性。

·10.3萬字

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Tableau：Creating Interactive Data Visualizations

DatascientistswhohavejuststartedusingTableauandwanttobuildontheskillsusingpracticalexamples.FamiliaritywithpreviousversionsofTableauwillbehelpful,butnotnecessary.

·11.9萬字

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Data Lake for Enterprises

Javadevelopersandarchitectswhowouldliketoimplementadatalakefortheirenterprisewillfindthisbookuseful.Ifyouwanttogethands-onexperiencewiththeLambdaArchitectureandbigdatatechnologiesbyimplementingapracticalsolutionusingthesetechnologies,thisbookwillalsohelpyou.

·11.5萬字

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Learning Tableau 2020

LearningTableaustrengthensyourcommandonTableaufundamentalsandbuildsonadvancedtopics.ThebookstartsbytakingyouthroughfoundationalprinciplesofTableau.Wethendemonstratevarioustypesofconnectionsandhowtoworkwithmetadata.Weteachyoutouseawidevarietyofvisualizationstoanalyzeandcommunicatethedata,andintroduceyoutocalculationsandparameters.Wethentakeanin-depthlookatlevelofdetail(LOD)expressionsandusethemtosolvecomplexdatachallenges.Upnext,weshowtablecalculations,howtoextendandalterdefaultvisualizations,buildaninteractivedashboard,andmastertheartoftellingstorieswithdata.ThisTableaubookwillintroduceyoutovisualstatisticalanalyticscapabilities,createdifferenttypesofvisualizationsanddynamicdashboardsforrichuserexperiences.Wethenmoveontomapsandgeospatialvisualization,andthenewDataModelcapabilitiesintroducedinTableau2020.2.YouwillfurtheruseTableauPrep’sabilitytocleanandstructuredataandsharethestoriescontainedinyourdata.Bytheendofthisbook,youwillbeproficientinimplementingthepowerfulfeaturesofTableau2020fordecision-making.

·10.8萬字

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Learn Amazon SageMaker

Quicklybuildanddeploymachinelearningmodelswithoutmanaginginfrastructure,andimproveproductivityusingAmazonSageMaker’scapabilitiessuchasAmazonSageMakerStudio,Autopilot,Experiments,Debugger,andModelMonitorKeyFeatures*Build,train,anddeploymachinelearningmodelsquicklyusingAmazonSageMaker*Analyze,detect,andreceivealertsrelatingtovariousbusinessproblemsusingmachinelearningalgorithmsandtechniques*Improveproductivitybytrainingandfine-tuningmachinelearningmodelsinproductionBookDescriptionAmazonSageMakerenablesyoutoquicklybuild,train,anddeploymachinelearning(ML)modelsatscale,withoutmanaginganyinfrastructure.IthelpsyoufocusontheMLproblemathandanddeployhigh-qualitymodelsbyremovingtheheavyliftingtypicallyinvolvedineachstepoftheMLprocess.ThisbookisacomprehensiveguidefordatascientistsandMLdeveloperswhowanttolearntheinsandoutsofAmazonSageMaker.You’llunderstandhowtousevariousmodulesofSageMakerasasingletoolsettosolvethechallengesfacedinML.Asyouprogress,you’llcoverfeaturessuchasAutoML,built-inalgorithmsandframeworks,andtheoptionforwritingyourowncodeandalgorithmstobuildMLmodels.Later,thebookwillshowyouhowtointegrateAmazonSageMakerwithpopulardeeplearninglibrariessuchasTensorFlowandPyTorchtoincreasethecapabilitiesofexistingmodels.You’llalsolearntogetthemodelstoproductionfasterwithminimumeffortandatalowercost.Finally,you’llexplorehowtouseAmazonSageMakerDebuggertoanalyze,detect,andhighlightproblemstounderstandthecurrentmodelstateandimprovemodelaccuracy.BytheendofthisAmazonbook,you’llbeabletouseAmazonSageMakeronthefullspectrumofMLworkflows,fromexperimentation,training,andmonitoringtoscaling,deployment,andautomation.Whatyouwilllearn*Createandautomateend-to-endmachinelearningworkflowsonAmazonWebServices(AWS)*Becomewell-versedwithdataannotationandpreparationtechniques*UseAutoMLfeaturestobuildandtrainmachinelearningmodelswithAutoPilot*Createmodelsusingbuilt-inalgorithmsandframeworksandyourowncode*TraincomputervisionandNLPmodelsusingreal-worldexamples*Covertrainingtechniquesforscaling,modeloptimization,modeldebugging,andcostoptimization*AutomatedeploymenttasksinavarietyofconfigurationsusingSDKandseveralautomationtoolsWhothisbookisforThisbookisforsoftwareengineers,machinelearningdevelopers,datascientists,andAWSuserswhoarenewtousingAmazonSageMakerandwanttobuildhigh-qualitymachinelearningmodelswithoutworryingaboutinfrastructure.KnowledgeofAWSbasicsisrequiredtograsptheconceptscoveredinthisbookmoreeffectively.SomeunderstandingofmachinelearningconceptsandthePythonprogramminglanguagewillalsobebeneficial.

·10.1萬字

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審計綜合模擬實訓(xùn)

本實訓(xùn)教材按照財務(wù)與審計信息無縫互聯(lián)、與企業(yè)審計實際業(yè)務(wù)流程高度仿真課程設(shè)計要求，擬設(shè)計“審計準(zhǔn)備階段模擬實訓(xùn)”“審計實施階段模擬實訓(xùn)”及“審計終結(jié)階段模擬實訓(xùn)”三部分實訓(xùn)項目，并配有審計模擬實訓(xùn)教學(xué)大綱、實訓(xùn)指導(dǎo)書、實訓(xùn)案例庫、課后思考題等實訓(xùn)教學(xué)資源。

·9.9萬字

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農(nóng)業(yè)內(nèi)部審計那些事兒

盡管我國有很長的農(nóng)業(yè)史，但在農(nóng)業(yè)現(xiàn)代化上，我們?nèi)栽趭^力追趕，而我們所遇到的挑戰(zhàn)將越來越多。本書主要針對農(nóng)業(yè)企業(yè)內(nèi)部審計中會遇到的一些難題，作了一些經(jīng)驗總結(jié)，同時為從事農(nóng)業(yè)管理業(yè)務(wù)的人士提供一些參考資料，盡可能地避開欺詐、舞弊、侵權(quán)、不當(dāng)?shù)美痊F(xiàn)象。目前，市面上有很多關(guān)于內(nèi)部審計的書，但大多數(shù)是從審計職能這個角度進(jìn)行論述，缺乏企業(yè)內(nèi)審角度的著作，因此，本書是從農(nóng)企的角度進(jìn)行論述。很多人認(rèn)為內(nèi)部審計的方法是不分行業(yè)的，但筆者認(rèn)為，在實際工作中還是有差別的。例如，農(nóng)產(chǎn)品盤點比工業(yè)企業(yè)難，農(nóng)產(chǎn)品受苗種、病害、退化、天氣等方面影響大。農(nóng)業(yè)有其自身的經(jīng)營模式，本書從農(nóng)企的特點出發(fā)，輔以實戰(zhàn)和經(jīng)驗，選取一些經(jīng)常用到的審計程序和審計項目進(jìn)行分析，使讀者能夠真正掌握農(nóng)業(yè)內(nèi)部審計的精髓。本書內(nèi)容精練、重點突出、實例豐富，是廣大農(nóng)業(yè)內(nèi)部審計人員必備的參考書，同時也非常適合大中專院校師生學(xué)習(xí)閱讀，也可供農(nóng)業(yè)相關(guān)管理者作為培訓(xùn)教材使用。

·7.7萬字

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高級計量經(jīng)濟(jì)分析及Stata應(yīng)用

本書除了介紹計量經(jīng)濟(jì)學(xué)的概念、理論和技術(shù)等基本方法之外，詳細(xì)介紹了多元時間序列和面板數(shù)據(jù)分析等內(nèi)容，力求通過大量實例、經(jīng)濟(jì)學(xué)解釋和豐富習(xí)題幫助學(xué)生理解經(jīng)濟(jì)計量學(xué)。特別地，本書用軟件stata實現(xiàn)，并提供了數(shù)據(jù)、do文件、日志文件等，可以方便有效地幫助學(xué)生學(xué)習(xí)高階內(nèi)容。本書面向經(jīng)濟(jì)和管理專業(yè)的本科高年級學(xué)生以及研究生。

·15.1萬字

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Oracle Business Intelligence Enterprise Edition 12c（Second Edition）

Ifyourjobincludesworkingondata,improvingthefinancialoroperationalperformanceofyourorganizationoryouareaconsultantfortheabove,thenthisbookisforyou.Ifyouhavebeenplacedonabusinessintelligenceproject,thenthisbookisforyou.IfyouaretheProjectManager,BusinessAnalystorDataScientistthenthisbookisforyou.IfyouareanenduserofOracleBusinessIntelligence,thenthisbookisforyoutoo.HavingabasicunderstandingofdatabasesandtheuseofBusinessIntelligenceisexpected,butnoknowledgeofOracleBIisrequired.

·9.6萬字

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Implementing VMware Horizon 7.7

ThisthirdeditionofImplementingVMwareHorizon7.7hasbeenupdatedtogetyouuptospeedwithVMwareHorizon7.7byshowingyouhowtouseitskeyfeaturesanddeployinganend-usercomputinginfrastructureforyourownorganization.ThebookbeginsbyguidingyouonhowtodeployallthecorerequirementsforaVMwareHorizoninfrastructure.Itthenmovesontoshowyouhowtoprovisionandadministerend-usercomputingresourcesusingVMwareHorizon.You’llnotonlybeabletodeploythecoreVMwareHorizonfeatures,butyou’llalsobeabletoimplementnewfeatures,suchastheJust-in-TimeManagementPlatform(JMP)andtheHorizonConsole.You’llalsofocusonthelatestfeaturesandcomponentsoftheHorizonplatformandlearnwhenandhowtheyareused.Bytheendofthebook,youwillhavedevelopedasolidunderstandingofhowyourorganizationcanbenefitfromthecapabilitiesVMwareHorizonoffersandhoweachofitscomponentsisimplemented.

·8.5萬字

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Mastering Redmine（Second Edition）

ThisbookisbestsuitedforprojectmanagersandRedmineadministratorswhohaveworkingknowledgeofRedmineandwhonowwanttogetadvancedpracticalknowledgetomanageandmonitorprojectseffectivelyandefficiently.

·8.5萬字

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IBM SPSS Modeler Cookbook

Thisisapracticalcookbookwithintermediate-advancedrecipesforSPSSModelerdataanalysts.Itisloadedwithstep-by-stepexamplesexplainingtheprocessfollowedbytheexperts.Ifyouhavehadsomehands-onexperiencewithIBMSPSSModelerandnowwanttogodeeperandtakemorecontroloveryourdataminingprocess,thisistheguideforyou.Itisidealforpractitionerswhowanttobreakintoadvancedanalytics.

·8.4萬字

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A+H股雙重審計管制取消的經(jīng)濟(jì)后果：基于權(quán)益成本和審計質(zhì)量的研究

作為一項在促進(jìn)會計師事務(wù)所增強獨立性和積累經(jīng)驗、提高上市公司治理水平和會計信息質(zhì)量等方面均具有重要作用的審計制度，雙重審計制度及其變遷一直是會計與審計理論界、實務(wù)界十分關(guān)注的話題。然而，現(xiàn)有文獻(xiàn)基本局限于研究雙重審計管制取消導(dǎo)致的審計方面的后果，未充分關(guān)注該政策變化對資本市場的潛在影響；此外，現(xiàn)存關(guān)于雙重審計管制取消的審計后果的研究缺乏對引起公司放棄雙重審計后審計質(zhì)量下降的內(nèi)在機制的深入探索。對此，本書基于審計需求、審計管制、審計供給以及遵循效應(yīng)相關(guān)理論，采用我國上市公司數(shù)據(jù)，借助經(jīng)典模型測算權(quán)益成本，新建指標(biāo)反映驅(qū)動審計質(zhì)量變化的內(nèi)在機制，運用多元回歸分析、傾向得分匹配、變化分析、混雜變量影響閾值分析等多種方法，對雙重審計管制取消在資本市場和審計市場上產(chǎn)生的經(jīng)濟(jì)后果進(jìn)行理論闡釋與實證檢驗。本書為理解雙重審計制度及其變遷的影響提供新的參考，對我國今后的審計制度安排與行業(yè)發(fā)展具有重要啟示。

·12萬字

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Minitab Cookbook

Thispracticalcookbookcoversabroadrangeoftopicsinaneasytounderstandmanner.StepbystepinstructionsguideyouthrougheventhemostcomplicatedoftoolsinMinitab.ThisbookisgreatforanyonewhoisfamiliarwithstatisticsandwhowantstolearnhowMinitabworks.Whilstyoudonotneedtobeanexpertinallareasofstatistics,youshouldunderstandthebasicsofthechaptersyouareinterestedin.

·8.2萬字

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關(guān)鍵審計事項披露的影響機制及公司價值研究

借鑒國內(nèi)外KAM披露影響的研究成果，利用嚴(yán)格的計量經(jīng)濟(jì)學(xué)方法，本書分別從審計師或會計師事務(wù)所、外部法律監(jiān)管環(huán)境，以及公司特征或治理特征等方面探索KAM披露的影響機制，并就KAM披露對公司價值的影響做進(jìn)一步研究。為增加審計信息透明度，世界各國都出臺了相關(guān)的關(guān)鍵審計事項披露政策，而且實施的效果也因各國的制度差異和關(guān)鍵審計事項內(nèi)容的差異而不同。（1）在研究方法上，國內(nèi)外文獻(xiàn)多以實驗研究為主，經(jīng)驗證據(jù)較少，鑒于實驗樣本和實驗條件受限，實驗結(jié)論并不具有一般性，需要進(jìn)一步拓展實證研究。（2）在研究內(nèi)容上，國內(nèi)外文獻(xiàn)更多注重其實施后果來展開，較少關(guān)注KAM披露的前置性影響因素的研究。而且在研究KAM披露的市場反應(yīng)時，研究文獻(xiàn)更多關(guān)注報表使用者在資本市場上的反應(yīng)，較少關(guān)注對公司價值的影響。

·10.8萬字

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Metabase Up and Running

Metabaseisanopensourcebusinessintelligencetoolthathelpsyouusedatatoanswerquestionsaboutyourbusiness.ThisbookwillgiveyouadetailedintroductiontousingMetabaseinyourorganizationtogetthemostvaluefromyourdata.You’llstartbyinstallingandsettingupMetabaseonyourlocalcomputer.You’llthenprogresstohandlingtheadministrationaspectofMetabasebylearninghowtoconfigureanddeployMetabase,manageaccounts,andexecuteadministrativetaskssuchasaddingusersandcreatingpermissionsandmetadata.Completewithexamplesanddetailedinstructions,thisbookshowsyouhowtocreatedifferentvisualizations,charts,anddashboardstogaininsightsfromyourdata.Asyouadvance,you’lllearnhowtosharetheresultswithpeersinyourorganizationandcoverproduction-relatedaspectssuchasembeddingMetabaseandauditingperformance.Throughoutthebook,you’llexploretheentiredataanalyticsprocess—fromconnectingyourdatasources,visualizingdata,andcreatingdashboardsthroughtodailyreporting.Bytheendofthisbook,you’llbereadytoimplementMetabaseasanintegraltoolinyourorganization.

·8.1萬字

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非線性經(jīng)濟(jì)關(guān)系的建模

美國聯(lián)邦儲備委員會和許多國家中央銀行都在使用的評估和預(yù)測方法。大數(shù)據(jù)時代，人們尊重數(shù)據(jù)，分析數(shù)據(jù)，解釋數(shù)據(jù)，才能把握和預(yù)測未來。分析和利用數(shù)據(jù)都需要模型建模，特別是非線性模型建模。因為大多數(shù)經(jīng)濟(jì)變量具有非線性關(guān)系，經(jīng)濟(jì)是非線性的。時間序列模型的主要功能就是預(yù)測，因此非線性時間序列計量經(jīng)濟(jì)學(xué)成為計量經(jīng)濟(jì)學(xué)拓展演化的必然結(jié)果。本書是計量經(jīng)濟(jì)學(xué)文獻(xiàn)中關(guān)于非線性時間序列計量經(jīng)濟(jì)學(xué)專著。它從正確性和實用性兩個方面判斷模型，主要關(guān)注便于計量經(jīng)濟(jì)學(xué)家使用的相對簡單的模型。具有如下特點：i）給出時間序列計量經(jīng)濟(jì)學(xué)中非線性的定義；ii）綜述常用的非線性時間序列計量經(jīng)濟(jì)模型及其經(jīng)濟(jì)理論依據(jù)；iii）系統(tǒng)地提出了非線性時間序列計量經(jīng)濟(jì)模型建模的三步驟，即模型設(shè)定，參數(shù)估計，建模評估；iv）系統(tǒng)論述了Granger的長記憶模型；v）提供了大量實證研究示例。本書的出版對研究財富與消費、匯率與價格、以及短期利率與長期利率之間的關(guān)系等問題都具有非常重要的意義。

·8.6萬字

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Business Intelligence with MicroStrategy Cookbook

Writteninacookbookstyle,thisbookwillteachyouthroughtheuseofrecipeswithexamplesandillustrations.Eachrecipecontainsstep-by-stepinstructionsabouteverythingnecessarytoexecuteaparticulartask.ThisbookisintendedforbothBIanddatabasedeveloperswhowanttoexpandtheirknowledgeofMicroStrategy.Itisalsousefulforadvanceddataanalystswhoareevaluatingdifferenttechnologies.YoudonotneedtobeanSQLmastertoreadthisbook,yetknowledgeofsomeconceptslikeforeignkeysandmany-to-manyrelationshipsisassumed.Someknowledgeofbasicconceptssuchasdimensionalmodeling(facttables,dimensions)willalsohelpyourcomprehensionofthisbook.NopreviousMicroStrategyknowledgeisneeded.