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Java Data Science Cookbook
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Java Data Science Cookbook

ThisbookisforJavadeveloperswhoarefamiliarwiththefundamentalsofdatascienceandwanttoimprovetheirskillstobecomeapro.

Rushdi Shams ·數(shù)據(jù)庫 ·5.2萬字

Mastering Machine Learning with R（Second Edition）
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Mastering Machine Learning with R（Second Edition）

Thisbookisfordatascienceprofessionals,dataanalysts,oranyonewithaworkingknowledgeofmachinelearning,withRwhonowwanttotaketheirskillstothenextlevelandbecomeanexpertinthefield.

Cory Lesmeister ·數(shù)據(jù)庫 ·8.6萬字

Effective Amazon Machine Learning
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Effective Amazon Machine Learning

Thisbookisintendedfordatascientistsandmanagersofpredictiveanalyticsprojects;itwillteachbeginner-toadvanced-levelmachinelearningpractitionershowtoleverageAmazonMachineLearningandcomplementtheirexistingDataSciencetoolbox.NosubstantivepriorknowledgeofMachineLearning,DataScience,statistics,orcodingisrequired.

Alexis Perrier ·數(shù)據(jù)庫 ·6.1萬字

Swift Functional Programming（Second Edition）
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Swift Functional Programming（Second Edition）

Meantforareaderwhoknowsobject-orientedprogramming,hassomeexperiencewithObjective-C/SwiftprogramminglanguagesandwantstofurtherenhancehisskillswithfunctionalprogrammingtechniqueswithSwift3.x.

Dr. Fatih Nayebi ·數(shù)據(jù)庫 ·6.5萬字

Mastering Java for Data Science
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Mastering Java for Data Science

ThisbookisintendedforsoftwareengineerswhoarecomfortablewithdevelopingJavaapplicationsandarefamiliarwiththebasicconceptsofdatascience.Additionally,itwillalsobeusefulfordatascientistswhodonotyetknowJavabutwantorneedtolearnit.Ifyouarewillingtobuildefficientdatascienceapplicationsandbringthemintheenterpriseenvironmentwithoutchangingtheexistingstack,thisbookisforyou!

Alexey Grigorev ·數(shù)據(jù)庫 ·8.3萬字

Lean Mobile App Development
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Lean Mobile App Development

Thisbookisfordevelopers,CTOs,andarchitectsworkingforastartuporanotherkindofleanstartupenvironment,suchasstart-upwithinacooperation.ItisisidealforanyiOSandAndroiddeveloperwhowantstobuildsuccessfulmobileappsbyadoptingtheleanstartupmethodology.

Mike van Drongelen Adam Dennis Richard Garabedian Alberto Gonzalez Aravind Krishnaswamy ·數(shù)據(jù)庫 ·8.8萬字

Reactive Programming in Kotlin
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Reactive Programming in Kotlin

ThisbookisforKotlindeveloperswhowouldliketobuildfault-tolerant,scalable,anddistributedsystems.AbasicknowledgeofKotlinisrequired,butnopriorknowledgeofreactiveprogramming.

Rivu Chakraborty ·數(shù)據(jù)庫 ·5.2萬字

Git Essentials（Second Edition）
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Git Essentials（Second Edition）

Ifyouareasoftwaredeveloperwithlittleornoexperienceofversioningsystems,oryouarefamiliarwithothercentralizedversioningsystems,thenthisbookisforyou.IfyouhaveexperienceinserverandsystemmanagementandneedtobroadenyouruseofGitfromaDevOpsperspective,thisbookcontainseverythingyouneed.

Ferdinando Santacroce ·數(shù)據(jù)庫 ·4.6萬字

Hands-On Design Patterns with Swift
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Hands-On Design Patterns with Swift

SwiftkeepsgainingtractionnotonlyamongstAppledevelopersbutalsoasaserver-sidelanguage.Thisbookdemonstrateshowtoapplydesignpatternsandbestpracticesinreal-lifesituations,whetherthat'sforneworalreadyexistingprojects.You’llbeginwithaquickrefresheronSwift,thecompiler,thestandardlibrary,andthefoundation,followedbytheCocoadesignpatterns–theonesatthecoreofmanycocoalibraries–tofollowupwiththecreational,structural,andbehavioralpatternsasdefinedbytheGoF.You'llgetacquaintedwithapplicationarchitecture,aswellasthemostpopulararchitecturaldesignpatterns,suchasMVCandMVVM,andlearntousetheminthecontextofSwift.Inaddition,you’llwalkthroughdependencyinjectionandfunctionalreactiveprogramming.Specialemphasiswillbegiventotechniquestohandleconcurrency,includingcallbacks,futuresandpromises,andreactiveprogramming.Thesetechniqueswillhelpyouadoptatest-drivenapproachtoyourworkflowinordertouseSwiftPackageManagerandintegratetheframeworkintotheoriginalcodebase,alongwithUnitandUItesting.Bytheendofthebook,you'llbeabletobuildapplicationsthatarescalable,faster,andeasiertomaintain.

Florent Vilmart Giordano Scalzo Sergio De Simone ·數(shù)據(jù)庫 ·8.6萬字

Hands-On System Programming with C++
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Hands-On System Programming with C++

C++isageneral-purposeprogramminglanguagewithabiastowardsystemprogrammingasitprovidesreadyaccesstohardware-levelresources,efficientcompilation,andaversatileapproachtohigher-levelabstractions.ThisbookwillhelpyouunderstandthebenefitsofsystemprogrammingwithC++17.YouwillgainafirmunderstandingofvariousC,C++,andPOSIXstandards,aswellastheirrespectivesystemtypesforbothC++andPOSIX.AfterabriefrefresheronC++,ResourceAcquisitionIsInitialization(RAII),andthenewC++GuidelineSupportLibrary(GSL),youwilllearntoprogramLinuxandUnixsystemsalongwithprocessmanagement.Asyouprogressthroughthechapters,youwillbecomeacquaintedwithC++'ssupportforIO.Youwillthenstudyvariousmemorymanagementmethods,includingachapteronallocatorsandhowtheybenefitsystemprogramming.YouwillalsoexplorehowtoprogramfileinputandoutputandlearnaboutPOSIXsockets.ThisbookwillhelpyougettogripswithsafelysettingupaUDPandTCPserver/client.Finally,youwillbeguidedthroughUnixtimeinterfaces,multithreading,anderrorhandlingwithC++exceptions.Bytheendofthisbook,youwillbecomfortablewithusingC++toprogramhigh-qualitysystems.

Dr. Rian Quinn ·數(shù)據(jù)庫 ·10.4萬字

Machine Learning for Mobile
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Machine Learning for Mobile

Machinelearningpresentsanentirelyuniqueopportunityinsoftwaredevelopment.Itallowssmartphonestoproduceanenormousamountofusefuldatathatcanbemined,analyzed,andusedtomakepredictions.Thisbookwillhelpyoumastermachinelearningformobiledeviceswitheasy-to-follow,practicalexamples.Youwillbeginwithanintroductiontomachinelearningonmobilesandgraspthefundamentalssoyoubecomewell-acquaintedwiththesubject.Youwillmastersupervisedandunsupervisedlearningalgorithms,andthenlearnhowtobuildamachinelearningmodelusingmobile-basedlibrariessuchasCoreML,TensorFlowLite,MLKit,andFritzonAndroidandiOSplatforms.Indoingso,youwillalsotacklesomecommonandnot-so-commonmachinelearningproblemswithregardtoComputerVisionandotherreal-worlddomains.Bytheendofthisbook,youwillhaveexploredmachinelearningindepthandimplementedon-devicemachinelearningwithease,therebygainingathoroughunderstandingofhowtorun,create,andbuildreal-timemachine-learningapplicationsonyourmobiledevices.

Revathi Gopalakrishnan Avinash Venkateswarlu ·數(shù)據(jù)庫 ·5.1萬字

Hands-On Data Structures and Algorithms with Rust
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Hands-On Data Structures and Algorithms with Rust

Rusthascomealongwayandisnowutilizedinseveralcontexts.Itskeystrengthsareitssoftwareinfrastructureandresource-constrainedapplications,includingdesktopapplications,servers,andperformance-criticalapplications,notforgettingitsimportanceinsystems'programming.ThisbookwillbeyourguideasittakesyouthroughimplementingclassicdatastructuresandalgorithmsinRust,helpingyoutogetupandrunningasaconfidentRustprogrammer.ThebookbeginswithanintroductiontoRustdatastructuresandalgorithms,whilealsocoveringessentiallanguageconstructs.Youwilllearnhowtostoredatausinglinkedlists,arrays,stacks,andqueues.Youwillalsolearnhowtoimplementsortingandsearchingalgorithms.Youwilllearnhowtoattainhighperformancebyimplementingalgorithmstostringdatatypesandimplementhashstructuresinalgorithmdesign.Thebookwillexaminealgorithmanalysis,includingBruteForcealgorithms,Greedyalgorithms,DivideandConqueralgorithms,DynamicProgramming,andBacktracking.Bytheendofthebook,youwillhavelearnedhowtobuildcomponentsthatareeasytounderstand,debug,anduseindifferentapplications.

Claus Matzinger ·數(shù)據(jù)庫 ·6.6萬字

Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide
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Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide

CognitiveToolkitisaverypopularandrecentlyopensourceddeeplearningtoolkitbyMicrosoft.CognitiveToolkitisusedtotrainfastandeffectivedeeplearningmodels.ThisbookwillbeaquickintroductiontousingCognitiveToolkitandwillteachyouhowtotrainandvalidatedifferenttypesofneuralnetworks,suchasconvolutionalandrecurrentneuralnetworks.Thisbookwillhelpyouunderstandthebasicsofdeeplearning.YouwilllearnhowtouseMicrosoftCognitiveToolkittobuilddeeplearningmodelsanddiscoverwhatmakesthisframeworkuniquesothatyouknowwhentouseit.Thisbookwillbeaquick,no-nonsenseintroductiontothelibraryandwillteachyouhowtotraindifferenttypesofneuralnetworks,suchasconvolutionalneuralnetworks,recurrentneuralnetworks,autoencoders,andmore,usingCognitiveToolkit.Thenwewilllookattwoscenariosinwhichdeeplearningcanbeusedtoenhancehumancapabilities.Thebookwillalsodemonstratehowtoevaluateyourmodels'performancetoensureittrainsandrunssmoothlyandgivesyouthemostaccurateresults.Finally,youwillgetashortoverviewofhowCognitiveToolkitfitsintoaDevOpsenvironment.

Willem Meints ·數(shù)據(jù)庫 ·4.9萬字

Feature Engineering Made Easy
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Feature Engineering Made Easy

Ifyouareadatascienceprofessionaloramachinelearningengineerlookingtostrengthenyourpredictiveanalyticsmodel,thenthisbookisaperfectguideforyou.SomebasicunderstandingofthemachinelearningconceptsandPythonscriptingwouldbeenoughtogetstartedwiththisbook.

Sinan Ozdemir Divya Susarla ·數(shù)據(jù)庫 ·6.4萬字

TypeScript Microservices
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TypeScript Microservices

ThisbookisforJavaScriptdevelopersseekingtoutilizetheirNode.jsandTypescriptskillstobuildmicroservicesandmoveawayfromthemonolithicarchitecture.PriorknowledgeofTypeScriptandNode.jsisassumed.

Parth Ghiya ·數(shù)據(jù)庫 ·9.6萬字

Hands-On High Performance with Spring 5
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Hands-On High Performance with Spring 5

Ifyou’reaSpringdeveloperwho’dliketobuildhighperformanceapplicationsandhavemorecontroloveryourapplication'sperformanceinproductionanddevelopment,thisbookisforyou.SomefamiliaritywithJava,Maven,andEclipseisnecessary.

Chintan Mehta Subhash Shah Pritesh Shah Prashant Goswami Dinesh Radadiya ·數(shù)據(jù)庫 ·7.8萬字

Spring Boot 2.0 Cookbook（Second Edition）
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Spring Boot 2.0 Cookbook（Second Edition）

ThisbookisforJavaDeveloperswhohavegoodknowledgeandunderstandingofSpringandJavaapplicationdevelopment.

Alex Antonov ·數(shù)據(jù)庫 ·6.1萬字

Delphi High Performance
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Delphi High Performance

ThisbookisforDelphideveloperswhowouldliketobuildhighperformanceapplicationswithDelphi.PriorknowledgeofDelphiisassumed.

Primo? Gabrijelcic ·數(shù)據(jù)庫 ·8.6萬字

Hands-On Big Data Analytics with PySpark
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Hands-On Big Data Analytics with PySpark

ApacheSparkisanopensourceparallel-processingframeworkthathasbeenaroundforquitesometimenow.OneofthemanyusesofApacheSparkisfordataanalyticsapplicationsacrossclusteredcomputers.Inthisbook,youwillnotonlylearnhowtouseSparkandthePythonAPItocreatehigh-performanceanalyticswithbigdata,butalsodiscovertechniquesfortesting,immunizing,andparallelizingSparkjobs.Youwilllearnhowtosourcedatafromallpopulardatahostingplatforms,includingHDFS,Hive,JSON,andS3,anddealwithlargedatasetswithPySparktogainpracticalbigdataexperience.Thisbookwillhelpyouworkonprototypesonlocalmachinesandsubsequentlygoontohandlemessydatainproductionandatscale.ThisbookcoversinstallingandsettingupPySpark,RDDoperations,bigdatacleaningandwrangling,andaggregatingandsummarizingdataintousefulreports.YouwillalsolearnhowtoimplementsomepracticalandproventechniquestoimprovecertainaspectsofprogrammingandadministrationinApacheSpark.Bytheendofthebook,youwillbeabletobuildbigdataanalyticalsolutionsusingthevariousPySparkofferingsandalsooptimizethemeffectively.

Rudy Lai Bart?omiej Potaczek ·數(shù)據(jù)庫 ·3.6萬字

Expert Python Programming（Third Edition）
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Expert Python Programming（Third Edition）

Pythonisadynamicprogramminglanguagethat'susedinawiderangeofdomainsthankstoitssimpleyetpowerfulnature.AlthoughwritingPythoncodeiseasy,makingitreadable,reusable,andeasytomaintainischallenging.Completewithbestpractices,usefultools,andstandardsimplementedbyprofessionalPythondevelopers,thethirdeditionofExpertPythonProgrammingwillhelpyouovercomethischallenge.ThebookwillstartbytakingyouthroughthenewfeaturesinPython3.7.You'llthenlearntheadvancedcomponentsofPythonsyntax,inadditiontounderstandinghowtoapplyconceptsofvariousprogrammingparadigms,includingobject-orientedprogramming,functionalprogramming,andevent-drivenprogramming.Thisbookwillalsoguideyouthroughlearningthebestnamingpractices,writingyourowndistributablePythonpackages,andgettinguptospeedwithautomatedwaysofdeployingyoursoftwareonremoteservers.You’lldiscoverhowtocreateusefulPythonextensionswithC,C++,Cython,andCFFI.Furthermore,studyingaboutcodemanagementtools,writingcleardocumentation,andexploringtest-drivendevelopmentwillhelpyouwritecleancode.Bytheendofthebook,youwillhavebecomeanexpertinwritingefficientandmaintainablePythoncode.

Micha? Jaworski Tarek Ziadé ·數(shù)據(jù)庫 ·16.4萬字

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