教程-Hands-On Machine Learning Using Amazon SageMaker
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Genre:eLearning|Language:English

ConvertyourMachineLearningprojectideasintohighlyscalablesolutionsinstantlywithAmazonSageMaker

ThebiggestchallengefacingaMachineLearningprofessionalistotrain,tune,anddeployMachineLearningonthecloud.AWSSageMakeroffersapowerfulinfrastructuretoexperimentwithMachineLearningmodels.YouprobablyhaveanexistingMLprojectthatusesTensorFlow,Keras,CNTK,scikit-learn,orsomeotherlibrary.

ThispracticalcoursewillteachyoutorunyourneworexistingMLprojectonSageMaker.Youwilltrain,tune,anddeployyourmodelsinaneasyandscalablemannerbyabstractingmanylow-levelengineeringtasks.YouwillseehowtorunexperimentsonSageMakerJupyternotebooksandcodetrainingandpredictionworkflowsbyworkingonreal-worldMLproblems.

Bytheendofthiscourse,you'llbeproficientonusingSageMakerforyourMachineLearningapplications,thusspendingmoretimeonmodelingthanengineering.

WhatYouWillLearn

Buildreliable,testable,andreproducibleMachineLearning/DeepLearningworkflowsonSageMaker
MigrateexistingMLprojectstoSageMakertominimizethetimetakenturninganideaintoanactualmodelinproduction
DataexplorationandMLmodelingonJupyterNotebookshostedonSageMaker
TrainanddeployyourcustomMachineLearning/DeepLearningmodelonthecloud,viaSageMaker
ConducthyperparameteroptimizationonSageMakerinaneasyandconsistentway
EvaluateyourmodelsonlinebyrunningA/BtestsonSageMake