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Data Wrangling with Python

Fordatatobeusefulandmeaningful,itmustbecuratedandrefined.DataWranglingwithPythonteachesyouthecoreideasbehindtheseprocessesandequipsyouwithknowledgeofthemostpopulartoolsandtechniquesinthedomain.ThebookstartswiththeabsolutebasicsofPython,focusingmainlyondatastructures.ItthendelvesintothefundamentaltoolsofdatawranglinglikeNumPyandPandaslibraries.You’llexploreusefulinsightsintowhyyoushouldstayawayfromtraditionalwaysofdatacleaning,asdoneinotherlanguages,andtakeadvantageofthespecializedpre-builtroutinesinPython.ThiscombinationofPythontipsandtrickswillalsodemonstratehowtousethesamePythonbackendandextract/transformdatafromanarrayofsourcesincludingtheInternet,largedatabasevaults,andExcelfinancialtables.Tohelpyouprepareformorechallengingscenarios,you’llcoverhowtohandlemissingorwrongdata,andreformatitbasedontherequirementsfromthedownstreamanalyticstool.Thebookwillfurtherhelpyougraspconceptsthroughreal-worldexamplesanddatasets.Bytheendofthisbook,youwillbeconfidentinusingadiversearrayofsourcestoextract,clean,transform,andformatyourdataefficiently.

Seven NoSQL Databases in a Week

IfyouareabuddingDBAoradeveloperwhowantstogetstartedwiththefundamentalsofNoSQLdatabases,thisbookisforyou.RelationalDBAswhowanttogetinsightsintothevariousofferingsofpopularNoSQLdatabaseswillalsofindthisbooktobeveryuseful.

·6.5萬字

Learning Apache Spark 2

Thisguideappealstobigdataengineers,analysts,architects,softwareengineers,eventechnicalmanagerswhoneedtoperformefficientdataprocessingonHadoopatrealtime.BasicfamiliaritywithJavaorScalawillbehelpful.Theassumptionisthatreaderswillbefromamixedbackground,butwouldbetypicallypeoplewithbackgroundinengineering/datasciencewithnopriorSparkexperienceandwanttounderstandhowSparkcanhelpthemontheiranalyticsjourney.

Big Data Analytics with Hadoop 3

BigDataAnalyticswithHadoop3isforyouifyouarelookingtobuildhigh-performanceanalyticssolutionsforyourenterpriseorbusinessusingHadoop3’spowerfulfeatures,oryou’renewtobigdataanalytics.AbasicunderstandingoftheJavaprogramminglanguageisrequired.

3D Printing with RepRap Cookbook

Asystematicguideconsistingofover100recipeswhichfocusonhelpingyouunderstandtheprocessof3DprintingusingRepRapmachines.Thebookaimsatprovidingprofessionalswithaseriesofworkingrecipestohelpmaketheirfuzzynotionsintoreal,saleableprojects/objectsusing3Dprintingtechnology.ThisbookisfornovicedesignersandartistswhoownaRepRap-based3Dprinter,havefundamentalknowledgeofitsworking,andwhodesiretogainbettermasteryoftheprintingprocess.Forthemoreexperienceduser,itwillprovideahandyvisualresource,withside-by-sidecomparisonsofthetwomostpopularslicers,SkeinforgeandSlic3r.Abasicunderstandingofdesigningandmodelingprinciplesandelementaryknowledgeofdigitalmodelingwouldbeaplus.

ArchiCAD 19：The Definitive Guide

Thisbookisforarchitects,architecturaltechnicians,andconstructionprofessionalswhoarefamiliarwith2DCADprogramssuchasAutoCADLite,orhavesomeexposuretoa3DBIMpackagesuchasRevit.NoexperiencewithArchiCADisrequired.Ifyouwanttolearntheskillsneededforarchitecturaldrawingproductionintherealworld,thenthisbookisforyou.

超好玩的Python少兒編程

《超好玩的Python少兒編程》是寫給青少年讀者的編程學(xué)習(xí)用書，主要通過游戲及作品的實(shí)例來講解Python的編程方法，引導(dǎo)青少年在快樂中學(xué)習(xí)編程。通過游戲編程實(shí)例及有趣的作品，讓青少年參與其中，培養(yǎng)他們獨(dú)立分析問題和解決問題的能力，提高他們的探索精神，為今后進(jìn)一步深入學(xué)習(xí)編程打好基礎(chǔ)。《超好玩的Python少兒編程》根據(jù)教學(xué)實(shí)踐來編寫，采用青少年感興趣的游戲?qū)嵗皯?yīng)用程序?qū)嵗茸鳛橹骶€，由淺入深，讀者學(xué)習(xí)本書之后可以自己動手編寫游戲項(xiàng)目。《超好玩的Python少兒編程》采用彩色、全圖解方式，對游戲?qū)嵗忻總€步驟的代碼都進(jìn)行非常細(xì)致的講解，讀者只要跟著步驟去做，就能完成很棒的項(xiàng)目。

·5.7萬字

Mastering Mesos

ThebookaimstoserveDevOpsengineersandsystemadministratorswhoarefamiliarwiththebasicsofmanagingaLinuxsystemanditstools

Data Science for Marketing Analytics

DataScienceforMarketingAnalyticscoverseverystageofdataanalytics,fromworkingwitharawdatasettosegmentingapopulationandmodelingdifferentpartsofthepopulationbasedonthesegments.ThebookstartsbyteachingyouhowtousePythonlibraries,suchaspandasandMatplotlib,toreaddatafromPython,manipulateit,andcreateplots,usingbothcategoricalandcontinuousvariables.Then,you'lllearnhowtosegmentapopulationintogroupsandusedifferentclusteringtechniquestoevaluatecustomersegmentation.Asyoumakeyourwaythroughthechapters,you'llexplorewaystoevaluateandselectthebestsegmentationapproach,andgoontocreatealinearregressionmodeloncustomervaluedatatopredictlifetimevalue.Intheconcludingchapters,you'llgainanunderstandingofregressiontechniquesandtoolsforevaluatingregressionmodels,andexplorewaystopredictcustomerchoiceusingclassificationalgorithms.Finally,you'llapplythesetechniquestocreateachurnmodelformodelingcustomerproductchoices.Bytheendofthisbook,youwillbeabletobuildyourownmarketingreportingandinteractivedashboardsolutions.

Microsoft System Center Configuration Manager Advanced Deployment

IfyouareanexperiencedConfigurationManageradministratorlookingtoadvanceyourcareerorgetmorefromyourcurrentenvironment,thenthisbookisidealforyou.PriorexperienceofdeployingandmanagingaConfigurationManagersitewouldbehelpfulinfollowingtheexamplesthroughoutthisbook.

Apache Spark Deep Learning Cookbook

Withdeeplearninggainingrapidmainstreamadoptioninmodern-dayindustries,organizationsarelookingforwaystounitepopularbigdatatoolswithhighlyefficientdeeplearninglibraries.Asaresult,thiswillhelpdeeplearningmodelstrainwithhigherefficiencyandspeed.WiththehelpoftheApacheSparkDeepLearningCookbook,you’llworkthroughspecificrecipestogenerateoutcomesfordeeplearningalgorithms,withoutgettingboggeddownintheory.FromsettingupApacheSparkfordeeplearningtoimplementingtypesofneuralnet,thisbooktacklesbothcommonandnotsocommonproblemstoperformdeeplearningonadistributedenvironment.Inadditiontothis,you’llgetaccesstodeeplearningcodewithinSparkthatcanbereusedtoanswersimilarproblemsortweakedtoanswerslightlydifferentproblems.YouwillalsolearnhowtostreamandclusteryourdatawithSpark.Onceyouhavegottogripswiththebasics,you’llexplorehowtoimplementanddeploydeeplearningmodels,suchasConvolutionalNeuralNetworks(CNN)andRecurrentNeuralNetworks(RNN)inSpark,usingpopularlibrariessuchasTensorFlowandKeras.Bytheendofthebook,you'llhavetheexpertisetotrainanddeployefficientdeeplearningmodelsonApacheSpark.

Learning Apache Apex

ThisbookassumesknowledgeofapplicationdevelopmentwithJavaandfamiliaritywithdistributedsystems.Familiaritywithotherreal-timestreamingframeworksisnotrequired,butsomepracticalexperiencewithotherbigdataprocessingutilitiesmightbehelpful.

城市道路交通主動控制技術(shù)

本書從控制理論視角出發(fā)，從交通狀態(tài)辨識方法入手，對城市交通主動控制技術(shù)進(jìn)行了深入探討。本書共5章：第1章思考，回顧了交通控制的發(fā)展歷程，并提出了一些深入思考；第2章辨識，研討了交叉口過飽和狀態(tài)辨識方法、交叉口檢測區(qū)域的圖像化模型、基于半監(jiān)督哈希算法的圖像搜索算法，將交通狀態(tài)辨識推進(jìn)到交通場景辨識的深度；第3章控制，介紹了基于交通狀態(tài)可控性的交叉口信號切換控制框架，以及基于時空資源調(diào)度的交叉口主動控制方法；第4章系統(tǒng)，設(shè)計(jì)和開發(fā)了一種基于信息物理系統(tǒng)的場景驅(qū)動城市交通控制系統(tǒng)（UTCS-CPS）；第5章總結(jié)與展望，系統(tǒng)總結(jié)了研究成果，并提出了下一步研究要解決的三個主要問題。本書適合從事城市交通智能控制和智能交通系統(tǒng)的研究人員閱讀參考，也可以作為高等院校智能交通、自動控制專業(yè)師生的參考用書。

·7.1萬字

R Machine Learning By Example

Ifyouareinterestedinminingusefulinformationfromdatausingstate-of-the-arttechniquestomakedata-drivendecisions,thisisago-toguideforyou.Nopriorexperiencewithdatascienceisrequired,althoughbasicknowledgeofRishighlydesirable.Priorknowledgeinmachinelearningwouldbehelpfulbutisnotnecessary.

Statistics for Data Science

Thisbookisintendedforthosedeveloperswhoarewillingtoenterthefieldofdatascienceandarelookingforconciseinformationofstatisticswiththehelpofinsightfulprogramsandsimpleexplanation.SomebasichandsonRwillbeuseful.

HTML5 Game Development HOTSHOT

Withawiderangeofprojectstobuild,thisstep-by-stepguidewillgiveyouallthetoolsyouneedtocreateavarietyofgames.Whetheryouarefamiliarwiththebasicsofobject-orientedprogrammingconcepts,arenewtoHTMLgamedevelopment,orarefamiliarwithjustwebdesign,thisproject-basedbookwillgetyouupandrunninginnotime.ItwillteachandinspireyoutocreategreatinteractivecontentontheWeb.

·6.5萬字

Hands-On Deep Learning Architectures with Python

Deeplearningarchitecturesarecomposedofmultilevelnonlinearoperationsthatrepresenthigh-levelabstractions;thisallowsyoutolearnusefulfeaturerepresentationsfromthedata.Thisbookwillhelpyoulearnandimplementdeeplearningarchitecturestoresolvevariousdeeplearningresearchproblems.Hands-OnDeepLearningArchitectureswithPythonexplainstheessentiallearningalgorithmsusedfordeepandshallowarchitectures.Packedwithpracticalimplementationsandideastohelpyoubuildefficientartificialintelligencesystems(AI),thisbookwillhelpyoulearnhowneuralnetworksplayamajorroleinbuildingdeeparchitectures.Youwillunderstandvariousdeeplearningarchitectures(suchasAlexNet,VGGNet,GoogleNet)witheasy-to-followcodeanddiagrams.Inadditiontothis,thebookwillalsoguideyouinbuildingandtrainingvariousdeeparchitecturessuchastheBoltzmannmechanism,autoencoders,convolutionalneuralnetworks(CNNs),recurrentneuralnetworks(RNNs),naturallanguageprocessing(NLP),GAN,andmore—allwithpracticalimplementations.Bytheendofthisbook,youwillbeabletoconstructdeepmodelsusingpopularframeworksanddatasetswiththerequireddesignpatternsforeacharchitecture.Youwillbereadytoexplorethepotentialofdeeparchitecturesintoday'sworld.

·6.2萬字

Healthcare Analytics Made Simple

Inrecentyears,machinelearningtechnologiesandanalyticshavebeenwidelyutilizedacrossthehealthcaresector.HealthcareAnalyticsMadeSimplebridgesthegapbetweenpractisingdoctorsanddatascientists.Itequipsthedatascientists’workwithhealthcaredataandallowsthemtogainbetterinsightfromthisdatainordertoimprovehealthcareoutcomes.Thisbookisacompleteoverviewofmachinelearningforhealthcareanalytics,brieflydescribingthecurrenthealthcarelandscape,machinelearningalgorithms,andPythonandSQLprogramminglanguages.Thestep-by-stepinstructionsteachyouhowtoobtainrealhealthcaredataandperformdescriptive,predictive,andprescriptiveanalyticsusingpopularPythonpackagessuchaspandasandscikit-learn.Thelatestresearchresultsindiseasedetectionandhealthcareimageanalysisarereviewed.Bytheendofthisbook,youwillunderstandhowtousePythonforhealthcaredataanalysis,howtoimport,collect,clean,andrefinedatafromelectronichealthrecord(EHR)surveys,andhowtomakepredictivemodelswiththisdatathroughreal-worldalgorithmsandcodeexamples.