In this video, you will learn how easy it is to do ML modelling with Amazon SageMaker canvas, a no-code feature offered by Amazon SageMaker that lets you perform regression, binary as well as multi-class classification and time series forecasting, without writing a single line of code. This video shows a quick demo of the 5 min demo offered by SageMaker Canvas
With Amazon SageMaker , you can build, train, and deploy ML models for any use case with fully managed infrastructure, tools, and workflows. SageMaker removes the heavy lifting from each step of the ML process to make it easier to develop high-quality models. SageMaker provides all of the components used for ML in a single toolset so models get to production faster with much less effort and at lower cost. Amazon SageMaker Autopilot automatically builds, trains, and tunes the best ML models based on your data, while allowing you to maintain full control and visibility. Service Background: With Amazon SageMaker , you can build, train, and deploy ML models for any use case with fully managed infrastructure, tools, and workflows. SageMaker removes the heavy lifting from each step of the ML process to make it easier to develop high-quality models. SageMaker provides all of the components used for ML in a single toolset so models get to production faster with much less effort and at lower cost. Amazon SageMaker Autopilot automatically builds, trains, and tunes the best ML models based on your data, while allowing you to maintain full control and visibility. \r\nHere is the link to the service home page: [ Ссылка ]
Category background: This service belongs to Machine Learning category. This category offered by AWS contains following AWS Services: Amazon Augmented AI, Amazon CodeGuru, Amazon Comprehend, Amazon DevOps Guru, Amazon DevOps Guru for RDS, Amazon Elastic Inference, Amazon Forecast, Amazon Fraud Detector, Amazon HealthLake, Amazon Kendra, Amazon Lex, Amazon Lex Automated Chatbot Designer (Preview), Amazon Lookout for Equipment, Amazon Lookout for Metrics, Amazon Lookout for Vision, Amazon Monitron, Amazon Omics, Amazon Personalize, Amazon Polly, Amazon Rekognition, Amazon SageMaker, Amazon SageMaker Canvas, Amazon SageMaker Ground Truth, Amazon SageMaker Ground Truth Plus, Amazon SageMaker HyperPod, Amazon SageMaker Studio Lab, Amazon SageMaker Training Compiler, Amazon Textract, AWS Deep Learning AMIs, AWS Deep Learning Containers, AWS DeepComposer, AWS DeepLens, AWS DeepRacer, AWS HealthScribe, AWS Inferentia, AWS Panorama\r\nBackground: AWS is a leading cloud provider that provides on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered, pay-as-you-go basis.
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machine learningamazon web servicesawscloud computingaws sagemakeramazon sagemakerdata sciencedeep learningsagemaker tutorialaws sagemaker tutorial for beginnersaws sagemaker deploy modelmachine learning modelsaws sagemaker tutorialaws cloud'aws''AWSMachineLearning'regressionbinary classificationmulti-class classificationtime series forecastingno-code ml modellingdata analystshow to use sagemaker canvasartificial intelligence