Theincreasebeingseenindatavolumetodayrequiresdistributedsystems,powerfulalgorithms,andscalablecloudinfrastructuretocomputeinsightsandtrainanddeploymachinelearning(ML)models.ThisbookwillhelpyouimproveyourknowledgeofbuildingMLmodelsusingAzureandend-to-endMLpipelinesonthecloud.Thebookstartswithanoverviewofanend-to-endMLprojectandaguideonhowtochoosetherightAzureservicefordifferentMLtasks.ItthenfocusesonAzureMachineLearningandtakesyouthroughtheprocessofdataexperimentation,datapreparation,andfeatureengineeringusingAzureMachineLearningandPython.You'lllearnadvancedfeatureextractiontechniquesusingnaturallanguageprocessing(NLP),classicalMLtechniques,andthesecretsofbothagreatrecommendationengineandaperformantcomputervisionmodelusingdeeplearningmethods.You'llalsoexplorehowtotrain,optimize,andtunemodelsusingAzureAutomatedMachineLearningandHyperDrive,andperformdistributedtrainingonAzure.Then,you'lllearndifferentdeploymentandmonitoringtechniquesusingAzureKubernetesServiceswithAzureMachineLearning,alongwiththebasicsofMLOps—DevOpsforMLtoautomateyourMLprocessasCI/CDpipeline.Bytheendofthisbook,you'llhavemasteredAzureMachineLearningandbeabletoconfidentlydesign,buildandoperatescalableMLpipelinesinAzure.