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Python Machine Learning / Second Edition
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UnlockmodernmachinelearninganddeeplearningtechniqueswithPythonbyusingthelatestcutting-edgeopensourcePythonlibraries.AboutThisBook?SecondeditionofthebestsellingbookonMachineLearning?Apracticalapproachtokeyframeworksindatascience,machinelearning,anddeeplearning?UsethemostpowerfulPythonlibrariestoimplementmachinelearninganddeeplearning?GettoknowthebestpracticestoimproveandoptimizeyourmachinelearningsystemsandalgorithmsWhoThisBookIsForIfyouknowsomePythonandyouwanttousemachinelearninganddeeplearning,pickupthisbook.Whetheryouwanttostartfromscratchorextendyourmachinelearningknowledge,thisisanessentialandunmissableresource.Writtenfordevelopersanddatascientistswhowanttocreatepracticalmachinelearninganddeeplearningcode,thisbookisidealfordevelopersanddatascientistswhowanttoteachcomputershowtolearnfromdata.WhatYouWillLearn?Understandthekeyframeworksindatascience,machinelearning,anddeeplearning?HarnessthepowerofthelatestPythonopensourcelibrariesinmachinelearning?Exploremachinelearningtechniquesusingchallengingreal-worlddata?MasterdeepneuralnetworkimplementationusingtheTensorFlowlibrary?Learnthemechanicsofclassificationalgorithmstoimplementthebesttoolforthejob?Predictcontinuoustargetoutcomesusingregressionanalysis?Uncoverhiddenpatternsandstructuresindatawithclustering?DelvedeeperintotextualandsocialmediadatausingsentimentanalysisInDetailMachinelearningiseatingthesoftwareworld,andnowdeeplearningisextendingmachinelearning.Understandandworkatthecuttingedgeofmachinelearning,neuralnetworks,anddeeplearningwiththissecondeditionofSebastianRaschka’sbestsellingbook,PythonMachineLearning.ThoroughlyupdatedusingthelatestPythonopensourcelibraries,thisbookoffersthepracticalknowledgeandtechniquesyouneedtocreateandcontributetomachinelearning,deeplearning,andmoderndataanalysis.Fullyextendedandmodernized,PythonMachineLearningSecondEditionnowincludesthepopularTensorFlowdeeplearninglibrary.Thescikit-learncodehasalsobeenfullyupdatedtoincluderecentimprovementsandadditionstothisversatilemachinelearninglibrary.SebastianRaschkaandVahidMirjalili’suniqueinsightandexpertiseintroduceyoutomachinelearninganddeeplearningalgorithmsfromscratch,andshowyouhowtoapplythemtopracticalindustrychallengesusingrealisticandinterestingexamples.Bytheendofthebook,you’llbereadytomeetthenewdataanalysisopportunitiesintoday’sworld.Ifyou’vereadthefirsteditionofthisbook,you’llbedelightedtofindanewbalanceofclassicalideasandmoderninsightsintomachinelearning.Everychapterhasbeencriticallyupdated,andtherearenewchaptersonkeytechnologies.You’llbeabletolearnandworkwithTensorFlowmoredeeplythaneverbefore,andgetessentialcoverageoftheKerasneuralnetworklibrary,alongwiththemostrecentupdatestoscikit-learn.StyleandApproachPythonMachineLearningSecondEditiontakesapractical,hands-oncodingapproachsoyoucanlearnaboutmachinelearningbycodingwithPython.ThisbookmovesfluentlybetweenthetheoreticalprinciplesofmachinelearningandthepracticaldetailsofimplementationwithPython.

Sebastian Raschka Vahid Mirjalili ·程序設計 ·13.3萬字

Solutions Architect's Handbook
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FromfundamentalsanddesignpatternstothedifferentstrategiesforcreatingsecureandreliablearchitecturesinAWScloud,learneverythingyouneedtobecomeasuccessfulsolutionsarchitectKeyFeatures*Createsolutionsandtransformbusinessrequirementsintotechnicalarchitecturewiththispracticalguide*Understandvariouschallengesthatyoumightcomeacrosswhilerefactoringormodernizinglegacyapplications*Delveintosecurityautomation,DevOps,andvalidationofsolutionarchitectureBookDescriptionBecomingasolutionsarchitectgivesyoutheflexibilitytoworkwithcutting-edgetechnologiesanddefineproductstrategies.Thishandbooktakesyouthroughtheessentialconcepts,designprinciplesandpatterns,architecturalconsiderations,andallthelatesttechnologythatyouneedtoknowtobecomeasuccessfulsolutionsarchitect.Thisbookstartswithaquickintroductiontothefundamentalsofsolutionarchitecturedesignprinciplesandattributesthatwillassistyouinunderstandinghowsolutionarchitecturebenefitssoftwareprojectsacrossenterprises.You'lllearnwhatacloudmigrationandapplicationmodernizationframeworklookslike,andwillusemicroservices,event-driven,cache-based,andserverlesspatternstodesignrobustarchitectures.You'llthenexplorethemainpillarsofarchitecturedesign,includingperformance,scalability,costoptimization,security,operationalexcellence,andDevOps.Additionally,you'llalsolearnadvancedconceptsrelatingtobigdata,machinelearning,andtheInternetofThings(IoT).Finally,you'llgettogripswiththedocumentationofarchitecturedesignandthesoftskillsthatarenecessarytobecomeabettersolutionsarchitect.Bytheendofthisbook,you'llhavelearnedtechniquestocreateanefficientarchitecturedesignthatmeetsyourbusinessrequirements.Whatyouwilllearn*Explorethevariousrolesofasolutionsarchitectandtheirinvolvementintheenterpriselandscape*Approachbigdataprocessing,machinelearning,andIoTfromanarchitect'sperspectiveandunderstandhowtheyfitintomodernarchitecture*Discoverdifferentsolutionarchitecturepatternssuchasevent-drivenandmicroservicepatterns*Findwaystokeepyourselfupdatedwithnewtechnologiesandenhanceyourskills*Modernizelegacyapplicationswiththehelpofcloudintegration*GettogripswithchoosinganappropriatestrategytoreducecostWhothisbookisforThisbookisforsoftwaredevelopers,systemengineers,DevOpsengineers,architects,andteamleadersworkingintheinformationtechnologyindustrywhoaspiretobecomesolutionsarchitectprofessionals.Agoodunderstandingofthesoftwaredevelopmentprocessandgeneralprogrammingexperiencewithanylanguagewillbeuseful.

Saurabh Shrivastava Neelanjali Srivastav Kamal Arora ·程序設計 ·13.2萬字

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